Position:
Lecturer
Department:
Department of Information Engineering and Process Control (DIEPC)
Room:
NB 674
eMail:
Phone:
+421 259 325 362
Availability:

Citations

  • Total citations       395

A. Vasičkaninová – M. Bakošová – A. Mészáros: Fuzzy Control Design for Energy Efficient Heat Exchanger Network. Chemical Engineering Transactions, vol. 88, pp. 529–534, 2021.
  • Number of citations       1
  • Guha, D. – Roy, P.K. – Banerjee, S. – Purwar, S.: Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System, Chapter: Conventional Controllers Applied for Frequency Regulation. Springer, Singapore, pp. 79–111, 2022.
A. Vasičkaninová – M. Bakošová – J. Oravec: Fuzzy control of heat exchangers in series using complex control structures, In Advanced Analytic and Control Techniques for Thermal Systems with Heat Exchangers, Editor(s): Libor Pekař, Academic Press Elsevier, pp. 287–306, 2020.
  • Number of citations       1
  • Guha, D. – Roy, P.K. – Banerjee, S. – Purwar, S.: Application of Intelligent Control Algorithms to Study the Dynamics of Hybrid Power System, Chapter: Conventional Controllers Applied for Frequency Regulation. Springer, Singapore, pp. 79–111, 2022.
A. Vasičkaninová – M. Bakošová – A. Mészáros: Control of heat exchangers in series using neural network predictive controllers. Acta Chimica Slovaca, pp. 41–48, 2020.
  • Number of citations       1
  • Jean-Marc Commenge: Big Data et Intelligence Artificielle pour le Génie des Procédés. École d’ingénieur. France. 2020. hal-03107557. 2020.
J. Oravec – M. Bakošová – M. HorváthováL. Galčíková – M. Slávik – A. Vasičkaninová – A. Mészáros: Convex-lifting-based Robust Control of a Laboratory Plate Heat Exchanger. Chemical Engineering Transactions, vol. 81, pp. 733–738, 2019.
  • Number of citations       1
  • Deng, T. – Li, X. – Zhang, L. – Lian, J. – Ma, T. – Wang, Q.: Controlling effect of phase change material based heat exchanger on supercritical CO2 Brayton cycle. Journal of Cleaner Production, no. 122994, vol. 277, 2020.
M. Bakošová – J. Oravec – A. Vasičkaninová – A. Mészáros – P. Valiauga: Advanced Control of a Biochemical Reactor for Yeast Fermentation. Chemical Engineering Transactions, vol. 81, pp. 769–774, 2019.
  • Number of citations       1
  • Lisci, S. – Grosso, M. – Tronci, S.: Different control strategies for a yeast fermentation bioreactor. In IFAC-PapersOnLine, pp. 306-311, 2021.
A. Vasičkaninová – M. Bakošová – J. OravecA. Mészáros: Model Predictive Control of a Tubular Chemical Reactor. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 228–233, 2019.
  • Number of citations       2
  • Dubljevic, S. – Koch, C.R. – Zhang, L. – Xie, J.: Model Predictive Control of Jacket Tubular Reactors with a Reversible Exothermic Reaction. Industrial and Engineering Chemistry Research, 2020.
  • Ritonja, J.: Adaptive Control of CO2 Production during Milk Fermentation in a Batch Bioreactor. Mathematics, vol. 9, pp. 1712, 2021.
A. Vasičkaninová – M. Bakošová – J. OravecA. Mészáros: Gain - Scheduled Control of Counter - Current Shell - and - Tube Heat Exchangers in Series. Chemical Engineering Transactions, vol. 81, pp. 1399–1404, 2018.
  • Number of citations       3
  • M. Trafczynski – M. Markowski – K. Urbaniec: Energy saving potential of a simple control strategy for heat exchanger network operation under fouling conditions Author links open overlay panel. Renewable and Sustainable Energy Reviews, vol. 111, pp. 355-364, 2019.
  • J.J. Klemeš – Q.W. Wang – P.S. Varbanov – M.Zeng – H.H. Chin – N. S. Lal – N-Q. Li – B. Wang – X.-Ch. Wang – T. G. Walmsley: Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation. Renewable and Sustainable Energy Reviews, vol. 120, pp. 1-31, 2020.
  • D. G. Olsen – B. Wellig – P. Gruber – R. Agner – E. J. Lucas: Robust Control of Heat Exchangers in Stratified Storage Systems - Simulation and Experimental Validation. Chemical Engineering Transactions, vol. 76, pp. 781-786, 2019.
J. Oravec – M. Bakošová – A. Vasičkaninová – A. Mészáros: Robust Model Predictive Control of a Plate Heat Exchanger. Chemical Engineering Transactions, vol. 81, pp. 25–30, 2018.
  • Number of citations       6
  • Klemeš, J.J. – Varbanov, P.S. – Ocłoń, P. – Chin, H.H.: Towards efficient and clean process integration: Utilisation of renewable resources and energy-saving technologies. Energies, no. 21, vol. 12, 2019.
  • Walmsley, T.G. – Varbanov, P.S. – Aviso, K. – You, F.: Energy integration and optimisation for sustainable total site, process and equipment design. Energy, no. 115896, vol. 186, 2019.
  • Yuan, L.-K. – Xu, B.-C. – Liang, Z.-S.: Analysis of the informative data of industrial data-based modelling. Chemical Engineering Transactions, vol. 76, pp. 685-690, 2019.
  • Rossi, F. – Mockus, L. – Manenti, F. – Reklaitis, G.: Present and future of model uncertainty quantification in process systems engineering. Chemical Engineering Transactions, vol. 74, pp. 625-630, 2019.
  • Agner, R. – Lucas, E.J. – Olsen, D.G. – Gruber, P. – Wellig, B.: Robust control of heat exchangers in stratified storage systems – Simulation and experimental validation. Chemical Engineering Transactions, vol. 76, pp. 781-786, 2019.
  • Arifuzzaman, S.M. – Uddin Mehedi, Md.F. – Al-Mamun, A. – Biswas, P. – Islam, Md.R. – Khan, Md.S.: Magnetohydrodynamic micropolar fluid flow in presence of nanoparticles through porous plate: A numerical study. International Journal of Heat and Technology, no. 3, vol. 36, pp. 936-948, 2018.
J. Oravec – M. Bakošová – M. Trafczynski – A. Vasičkaninová – A. Mészáros – M. Markowski: Robust model predictive control and PID control of shell-and-tube heat exchangers. Energy, vol. 159, pp. 1–10, 2018.
  • Number of citations       43
  • Stebel, Krzysztof – Fratczak, Michal – Grelewicz, Patryk – Czeczot, Jacek – Klopot, Tomasz: Adaptive predictive controller for energy-efficient batch heating process. Applied Thermal Engineering, no. SI, vol. 192, 2021.
  • S. A. Al-Samarraie – L. F. Ali: Output Feedback Adaptive Sliding Mode Control Design for a Plate Heat Exchanger. Al-Nahrain Journal for Engineering Sciences, no. 4, vol. 21, pp. 549-555, 2018.
  • Li, Hu – Song, Bao – Chen, Tianhang – Xie, Yuanlong – Zhou, Xiangdong: Adaptive fuzzy PI controller for permanent magnet synchronous motor drive based on predictive functional control. Journal of the Franklin Institute-engineering and Applied Mathematics, no. 15, vol. 358, pp. 7333-7364, 2021.
  • Cavanini, Luca – Ferracuti, Francesco – Longhi, Sauro – Monteriu, Andrea: Optimal Fault Tolerant Error Governor for PID Controllers. International Journal of Control Automation and Systems, no. 6, vol. 20, pp. 1814-1826, 2022.
  • Klopot, Tomasz – Skupin, Piotr – Grelewicz, Patryk – Czeczot, Jacek: Practical PLC-Based Implementation of Adaptive Dynamic Matrix Controller for Energy-Efficient Control of Heat Sources. IEEE Transactions on Industrial Electronics, no. 5, vol. 68, pp. 4269-4278, 2021.
  • Chang, Hongliang – Han, Zeran – Li, Xionghui – Ma, Ting – Wang, Qiuwang: Experimental investigation on heat transfer performance based on average thermal-resistance ratio for supercritical carbon dioxide in asymmetric airfoil-fin printed circuit heat exchanger. Energy, no. B, vol. 254, 2022.
  • Bakarac, Peter – Kvasnica, Michal: Fast nonlinear model predictive control of a chemical reactor: a random shooting approach. Acta Chimica Slovaca, no. 2, vol. 11, pp. 175-181, 2018.
  • Yang, H. – Zeng, F.: Design of internal model control oriented PID for typical thermal processes in combined cycle unit. In Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019, pp. 764-769, 2019.
  • M. Watanabe – F.S. Rahman – T. Kerdphol – Y. Mitani: Application of PI/PID Control for Virtual Inertia Synthesis, Springer, vol. doi.org/10.1007/978-3-030-57961-6_5, 2021.
  • Carvalho, C.B. – Carvalho, E.P. – Ravagnani, M.A.S.S.: Combined neural networks and predictive control for heat exchanger networks operation [Kombinovanje neuronskih mreža i prediktivne kontrole u radu mreža razmenjivača toplote]. Chemical Industry and Chemical Engineering Quarterly, no. 2, vol. 26, pp. 125-134, 2020.
  • Sun, L. – Yang, Z.-H. – Luo, X.-L.: Bypass control for heat exchanger networks based on frequency domain stability analysis [基于频域稳定性分析的换热网络旁路控制]. Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities, no. 1, vol. 34, pp. 171-181, 2020.
  • Carvalho, Carolina B. – Carvalho, Esdras P. – Ravagnani, Mauro A. S. S.: COMBINED NEURAL NETWORKS AND PREDICTIVE CONTROL FOR HEAT EXCHANGER NETWORKS OPERATION. Chemical Industry & Chemical Engineering Quarterly, no. 2, vol. 26, pp. 125-134, 2020.
  • Carvalho, Carolina B. – Carvalho, Esdras P. – Ravagnani, Mauro A. S. S.: Implementation of a neural network MPC for heat exchanger network temperature control. Brazilian Journal of Chemical Engineering, no. 4, vol. 37, pp. 729-744, 2020.
  • Dong, Zhe – Huang, Xiaojin – Dong, Yujie – Zhang, Zuoyi: Multilayer perception based reinforcement learning supervisory control of energy systems with application to a nuclear steam supply system. Applied Energy, no. 114193, vol. 259, 2020.
  • Vinod, R.: Economic Optimization of Shell and Tube Heat Exchanger using Adaptive Mutation Strategy Jaya Algorithm. In 2020 6th International Conference on Advanced Computing and Communication Systems (icACCs), pp. 221-226, 2020.
  • Gao, Xu – Ma, Qinglin – Sun, Xiaowei – Wang, Jiake – Li, Shuhang: Research on a Dual-Closed-Loop Temperature Control Method and System Based on Dual Sensors for Infrared Object Simulation. IEEE Sensors Journal, no. 23, vol. 19, pp. 11553-11561, 2019.
  • Lawrynczuk, Maciej – Oclon, Pawel: Model Predictive Control and energy optimisation in residential building with electric underfloor heating system. Energy, vol. 182, pp. 1028-1044, 2019.
  • Knudsen, Brage Rugstad – Kauko, Hanne – Andresen, Trond: An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters. Energies, no. 10, vol. 12, 2019.
  • Bakarac, Peter – Kvasnica, Michal: Approximate explicit robust model predictive control of a CSTR with fast reactions. Chemical Papers, no. 3, vol. 73, pp. 611-618, 2019.
  • Klemes, Jiri Jaromir – Varbanov, Petar Sabev: Heat transfer improvement, energy saving, management and pollution reduction. Energy, vol. 162, pp. 267-271, 2018.
  • Madhu, Resma P. K. – Subbaiah, Jayalalitha: Iterative quality weighted interpolation for LPV-MPC control of industrial heat exchanger under varying fouling conditions. Asia-pacific Journal of Chemical Engineering, no. 5, vol. 17, 2022.
  • Seferlis, Panos – Varbanov, Petar Sabev – Papadopoulos, I, Athanasios – Chin, Hon Huin – Klemes, Jiri Jaromir: Sustainable design, integration, and operation for energy high-performance process systems. Energy, no. 120158, vol. 224, 2021.
  • Cetin, Gurcan – Ozkaraca, Osman – Kecebas, Ali: Development of PID based control strategy in maximum exergy efficiency of a geothermal power plant. Renewable & Sustainable Energy Reviews, no. 110623, vol. 137, 2021.
  • Dong, Zhe – Li, Bowen – Li, Junyi – Jiang, Di – Guo, Zhiwu – Huang, Xiaojin – Zhang, Zuoyi: Passivity based control of heat exchanger networks with application to nuclear heating. Energy, no. 120107, vol. 223, 2021.
  • Shah, Dipesh – Shah, Ankit – Mehta, Axaykumar: Higher order networked sliding mode controller for heat exchanger connected via data communication network. European Journal of Control, vol. 58, pp. 301-314, 2021.
  • Chen, Wei – Ma, Xiaohui – Ma, Qinglin – Gao, Xu: Study on emissivity and reflectivity of target coating material in infrared band. In Global Intelligent Industry Conference 2020, 2021.
  • Wan, Xin – Luo, Xiong-Lin: Economic optimization of chemical processes based on zone predictive control with redundancy variables. Energy, no. 118586, vol. 212, 2020.
  • Carvalho, Carolina B. – Carvalho, Esdras P. – Ravagnani, Mauro A. S. S.: Implementation of a neural network MPC for heat exchanger network temperature control. Brazilian Journal of Chemical Engineering, no. 4, vol. 37, pp. 729-744, 2020.
  • Dong, Zhe – Huang, Xiaojin – Dong, Yujie – Zhang, Zuoyi: Multilayer perception based reinforcement learning supervisory control of energy systems with application to a nuclear steam supply system. Applied Energy, no. 114193, vol. 259, 2020.
  • Vinod, R.: Economic Optimization of Shell and Tube Heat Exchanger using Adaptive Mutation Strategy Jaya Algorithm. In 2020 6th International Conference on Advanced Computing and Communication Systems (icACCs), pp. 221-226, 2020.
  • Carvalho, Carolina B. – Carvalho, Esdras P. – Ravagnani, Mauro A. S. S.: COMBINED NEURAL NETWORKS AND PREDICTIVE CONTROL FOR HEAT EXCHANGER NETWORKS OPERATION. Chemical Industry & Chemical Engineering Quarterly, no. 2, vol. 26, pp. 125-134, 2020.
  • Gao, Xu – Ma, Qinglin – Sun, Xiaowei – Wang, Jiake – Li, Shuhang: Research on a Dual-Closed-Loop Temperature Control Method and System Based on Dual Sensors for Infrared Object Simulation. IEEE Sensors Journal, no. 23, vol. 19, pp. 11553-11561, 2019.
  • Lawrynczuk, Maciej – Oclon, Pawel: Model Predictive Control and energy optimisation in residential building with electric underfloor heating system. Energy, vol. 182, pp. 1028-1044, 2019.
  • Knudsen, Brage Rugstad – Kauko, Hanne – Andresen, Trond: An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters. Energies, no. 10, vol. 12, 2019.
  • Fedorova, Kristina – Bakarac, Peter – Kvasnica, Michal: Agile manoeuvres using model predictive control. Acta Chimica Slovaca, no. 1, vol. 12, pp. 136-141, 2019.
  • Bakarac, Peter – Kvasnica, Michal: Approximate explicit robust model predictive control of a CSTR with fast reactions. Chemical Papers, no. 3, vol. 73, pp. 611-618, 2019.
  • Dong, Zhe – Li, Bowen – Huang, Xiaojin: Passivity-Based Control of Heat Exchanger Networks. In Proceedings of the 38th Chinese Control Conference (ccc), pp. 6531-6536, 2019.
  • Klemes, Jiri Jaromir – Varbanov, Petar Sabev: Heat transfer improvement, energy saving, management and pollution reduction. Energy, vol. 162, pp. 267-271, 2018.
  • Bakarac, Peter – Kvasnica, Michal: Fast nonlinear model predictive control of a chemical reactor: a random shooting approach. Acta Chimica Slovaca, no. 2, vol. 11, pp. 175-181, 2018.
  • Alabrudzinski, Slawomir – Markowski, Mariusz: Impact of temperature approach on the behavior of the rectification heat and mass exchanger under fouling constraints. Energy Reports, vol. 8, pp. 7312-7324, 2022.
  • Ranjan, Rajiv – Kumar, Shalendar: An Efficient Cascaded Effect Based Parallel Flow Heat Exchanger Using Nonlinear Model Predictive Controller Based Fuzzy Optimization Technique. Arabian Journal for Science and Engineering, no. 3, vol. 48, pp. 3227-3239, 2023.
  • Ren, Chao – Sun, Lin – Xu, Feng – Luo, Xiong-Lin: Full cycle on-line autonomous reconfiguration of MIMO control system based on REGA pairing principle for heat exchanger networks. Journal of Process Control, no. 103081, vol. 130, 2023.
  • Miao, Wanjun – Xu, Bing: Application of Feedforward Cascade Compound Control Based on Improved Predictive Functional Control in Heat Exchanger Outlet Temperature System. Applied Sciences-basel, no. 12, vol. 13, 2023.
A. Vasičkaninová – M. Bakošová – Ľ. ČirkaM. KalúzJ. Oravec: Robust Controller Design for a Laboratory Heat Exchanger. Applied Thermal Engineering, vol. 128, pp. 1297–1309, 2018.
  • Number of citations       15
  • Petar Sabev Varbanov – Xue Xiu Jia – David John Kukulka – Xia Liu – Jiří Jaromír Klemeš: Emission minimisation by improving heat transfer, energy conversion, CO2 integration and effective training. Applied Thermal Engineering, vol. 131, pp. 531–539, 2018.
  • Bartecki, Krzysztof: Rational Transfer Function Model for a Double-Pipe Parallel-Flow Heat Exchanger. Symmetry-basel, no. 8, vol. 12, 2020.
  • LiborPekař: Advanced Analytic and Control Techniques for Thermal Systems with Heat Exchangers, Chapter: Chapter 12 - Controller design and tuning of a delayed heat exchanger plant in a robust sense. pp. 263-284, 2020.
  • Greco, Adriana – Gundabattini, Edison – Solomon, Darius Gnanaraj – Rassiah, Raja Singh – Masselli, Claudia: A Review on Geothermal Renewable Energy Systems for Eco-Friendly Air-Conditioning. Energies, no. 15, vol. 15, 2022.
  • Zhu, Jianzhong – Wu, Xiao – Shen, Jiong: Practical disturbance rejection control for boiler-turbine unit with input constraints. Applied Thermal Engineering, no. 114184, vol. 161, 2019.
  • Sallam, Omar Khaled – Azar, Ahmad Taher – Guaily, Amr – Ammar, Hossam Hassan: Tuning of PID Controller Using Particle Swarm Optimization for Cross Flow Heat Exchanger Based on CFD System Identification. In Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019, pp. 300-312, 2020.
  • Chen, Yilong – de Oliveira, Mauricio C.: An Alternative Algorithm to the D-K Iterations for Robust Control Design. IEEE Control Systems Letters, no. 1, vol. 5, pp. 115-120, 2021.
  • Bartecki, Krzysztof: An Approximate Transfer Function Model for a Double-Pipe Counter-Flow Heat Exchanger. Energies, no. 14, vol. 14, 2021.
  • Jin, Hao-Zhe – Gu, Yong – Ou, Guo-Fu: Corrosion risk analysis of tube-and-shell heat exchangers and design of outlet temperature control system. Petroleum Science, no. 4, vol. 18, pp. 1219-1229, 2021.
  • Yong Gu – Hao-Zhe Jin – Guo-Fu Ou: Corrosion risk analysis of tube-and-shell heat exchangers and design of outlettemperature control system. Petroleum Science, 2021.
  • Sit, M. L. – Patsiuk, I, V. – Juravliov, A. A. – Burciu, I, V. – Timchenko, V, D.: Control of Heat Exchanger with Variable Heat Transfer Surface Area. Problemele Energeticii Regionale, no. 1, pp. 90-101, 2019.
  • Wen, Yalan – Wang, Ling – Peng, Weiqing – Menhas, Muhammad Ilyas – Qian, Lin: Application of Intelligent Virtual Reference Feedback Tuning to Temperature Control in a Heat Exchanger. In Intelligent Computing and Internet of Things, Pt Ii, pp. 311-320, 2018.
  • Bartecki, Krzysztof: Rational Transfer Function Model for a Double-Pipe Parallel-Flow Heat Exchanger. Symmetry-basel, no. 8, vol. 12, 2020.
  • Govind, Achu K. R. – Subhasish, Mahapatra: Design of PI/PID Control Algorithm for a Benchmark Heat Exchanger System using Frequency Domain Specifications. In 2022 IEEE International Power and Renewable Energy Conference, Iprecon, 2022.
  • Pekar, Libor – Matusu, Radek – Dostalek, Petr – Song, Mengjie: Further experimental results on modelling and algebraic control of a delayed looped heating-cooling process under uncertainties. Heliyon, no. 8, vol. 9, 2023.
A. Vasičkaninová – M. Bakošová – J. OravecA. Mészáros: Neural Network Predictive Controller Design for Counter-Current Tubular Heat Exchangers in Series. Chemical Engineering Transactions, vol. 61, pp. 121-126, 2017.
  • Number of citations       3
  • V. V. Bukhtoyarov – V. S. Tynchenko – E. A. Petrovskiy – K. A. Bashmur – V. V. Kukartsev – N. A. Bukhtoyarova: Neural Network Controller Identification for Refining Process. Journal of Physics, vol. 1399, pp. 1-5, 2019.
  • Miswar A. Syed – Muhammad Khalid: Neural network predictive control for smoothing of solar power fluctuations with battery energy storage. Journal of Energy Storage, vol. 42, pp. 103014, 2021.
  • Esche, E. – Weigert, J. – Brand Rihm, G. – Göbel, J. – Repke, J.-U.: Architectures for neural networks as surrogates for dynamic systems in chemical engineering. Chemical Engineering Research and Design, vol. 177, pp. 184-199, 2022.
M. Bakošová – J. Oravec – A. Vasičkaninová – A. Mészáros: Neural-Network-Based and Robust Model-Based Predictive Control of a Tubular Heat Exchanger. Chemical Engineering Transactions, vol. 61, pp. 301–306, 2017.
  • Number of citations       2
  • M. Valdes – J. G. Ardila – D. Colorado – L. F. Grisales: Numerical Study of the Effect of Passive Techniques in TubeIn-Tube Helical Heat Exchanger. Chemical Engineering Transactions, vol. 70, pp. 1495-1500, 2018.
  • Valdes, M. – Ardila, J.G. – Colorado, D. – Escobedo-Trujillo, B.A.: Computational model to evaluate the effect of passive techniques in tube-in-tube helical heat exchanger. Energies, no. 10, vol. 12, 2019.
A. Vasičkaninová – M. Bakošová – A. Mészáros: Control of a Biochemical Process Using Fuzzy Approach. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 173–178, 2017.
  • Number of citations       4
  • Hou, J. – Cai, Z. – Zhao, J. – Wang, Y. – Liu, N. – Song, Z.: Fuzzy and PSO-based PID controller for a hybrid autogyroattitude control.. In 2017 11th Asian Control Conference (ASCC) Gold Coast Convention Centre, Australia, IEEE, pp. 2160-2165, 2017.
  • Satya Eswari Jujjavarapu – Bikesh Kumar Singh: Design and Development of Affordable Healthcare Technologies, Chapter: Optimization Techniques Applications in Biochemical Engineering and Controlled Drug Delivery: Current Practices and Forthcoming Challenges. IGI Global, edited by Arindam Bit, pp. 180-190, 2018.
  • Satya Eswari Jujjavarapu – Bikesh Kumar Singh: Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, Chapter: Optimization Techniques Applications in Biochemical Engineering and Controlled Drug Delivery: Current Practices and Forthcoming Challenges. edited by Information Resources Management Association, Hershey, PA: IGI Global, pp. 609-619, 2021.
  • Khew, Gabriel – Hussain, Mohd – Abdul Wahab, Ahmad: Fuzzy logic controller implementation on a microbial electrolysis cell for biohydrogen production and Storage. Chinese Journal of Chemical Engineering, 2021.
A. Vasičkaninová – M. Bakošová: Robust Controller Design for a Heat Exchanger using H2, H∞, H2/H∞, and μ-Synthesis Approaches. Acta Chimica Slovaca, no. 2, vol. 10, pp. 184–193, 2016.
  • Number of citations       8
  • R. Matušů – L. Pekař: Robust stability of thermal control systems with uncertain parameters: The graphical analysis examples. Applied Thermal Engineering, vol. 125, pp. 1157--1163, 2017.
  • Uğur Demiroğlu – Bilal Şenol: Analytical Design of PI Controllers for First Order plus Time Delay Systems. INTERNATIONAL SCIENTIFIC AND VOCATIONAL JOURNAL (ISVOS JOURNAL), no. 2, vol. 2, pp. 40-47, 2018.
  • Sapna Gupta – Rajeev Gupta – Subhransu Padhee: Parametric system identification and robustcontroller design for liquid–liquid heatexchanger system. ET Control Theory Appl., no. 10, vol. 12, pp. 1474-1482, 2018.
  • José Salcedo-Hernández – Raul Rivas-Perez – Javier Sotomayor-Moriano: Design of a Robust H2 State Feedback Temperature Controller for a Steel Slab Reheating Furnace. Applied Sciences, no. 5, vol. 10, pp. 1731, 2020.
  • Bilal ŞENOL – Uğur DEMİROĞLU: Proportional-Integral Controller Design for Thermal Systems. Journal of the Institute of Science and Technology, no. 1, vol. 10, pp. 128 - 140, 2020.
  • Radek Matušů – Bilal Şenol – Libor Pekař: Value-Set-Based Approach to Robust Stability Analysis for Ellipsoidal Families of Fractional-Order Polynomials with Complicated Uncertainty Structure. Applied Sciences, no. 24, vol. 9, pp. 5451, 2019.
  • Ahmed Maidi – Jean-Pierre Corriou: Advanced Analytic and Control Techniques for Thermal Systems with Heat Exchangers, Chapter: Chapter 17 - PDE control of heat exchangers by input-output linearization approach. pp. 367-386, 2020.
  • Rachid, Aziz – Fadil, Hassan El – Rachid, Kamal – Lassioui, Abdellah – Idrissi, Zakariae El: H-infinity Control of Bidirectional dc-dc Power Converter for V2G BEV Charger. In 2020 International Symposium on Advanced Electrical and Communication Technologies (ISAECT), pp. 1-6, 2020.
A. Vasičkaninová – M. Bakošová – Ľ. ČirkaM. Kalúz: Robust Controller Design for a Heat Exchanger. Chemical Engineering Transactions, vol. 52, pp. 247–252, 2016.
  • Number of citations       5
  • Wu Xiao – Huili Ran – Xiaobin Jiang – Xiangcun Li – Gaohong He: Control Schemes of Hybrid Distillation-vapor Permeation Process for Ethylene/Ethane Separations. CHemical engineering transactions, vol. 61, pp. 61-66, 2017.
  • Horváthová, Michaela – Ishihara, Nijihiko – Oravec, Juraj – Chida, Yuichi: Robust Setpoint Tracking of a Linear System with Discrete Actuators. In 2021 23rd International Conference on Process Control (PC), pp. 229-236, 2021.
  • Bhawesh Prasad – Raj Kumar – Manmohan Singh: Performance Analysis of Heat Exchanger System Using Deep Learning Controller. International Journal of Electrical and Electronics Research, no. 2, vol. 10, pp. 327-334, 2022.
  • Patriarca, Riccardo – Tronci, Massimo – Agnello, Patrizia – Ansaldi, Silvia Maria – Ledda, Alessandro: A STAMP Model for Safety Analysis in Industrial Plants. Chemical Engineering Transactions, vol. 91, pp. 403-408, 2022.
  • Dipesh Shah – Ankit Shah – Axaykumar Mehta: Higher order networked sliding mode controller for heat exchanger connected via data communication network. European Journal of Control, vol. 58, pp. 301-314, 2021.
A. Vasičkaninová – M. Bakošová – A. Mészáros: Fuzzy Control of a Distillation Column. Editor(s): Zdravko Kravanja, Miloš Bogataj, In 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, no. 38, vol. 26, pp. 1299–1304, 2016.
  • Number of citations       9
  • Drgona, J. – Takac, Z. – Hornak, M., – Valo, R. – Kvasnica, M.: Fuzzy control of a laboratory binary distillation column. In 21st International Conference on Process Control, PC 2017, pp. 120-125, 2017.
  • Zhiyun Zou – Zhizhen Wang – Lei Meng – Meng Yu – Ning Guo: Modelling and advanced control of a binary batch distillation pilot plant. In DOI: 10.1109/CAC.2017.8243259 Conference: Conference: 2017 Chinese Automation Congress (CAC), 2017.
  • A. Asgari – G. R. Arab Markadeh: Control of a Non-Linear Distillation Column Using Type-2 Fuzzy Method Optimized by Genetic Algorithm. Tabriz Journal of Electrical Engineering, no. 2, vol. 48, 2018.
  • Alawad, N. – Alseady, A.: Fuzzy controller of model reduction distillation column with minimal rules. Applied Computer Science, no. 2, vol. 16, pp. 80-94, 2020.
  • S. Chavan – V. Rathi – N. Birnale: Implementation of fuzzy logic control for FOPDT model of distillation column. In 2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), Bangalore, India, pp. 1294-1298, 2019.
  • Sheikus, Anton – Kovalenko, Vadym – Kotok, Valerii – Levchuk, Igor – Bilobrova, Olena – Darovskih, Larisa: OPTIMIZATION OF RECTIFICATION PROCESS USING MOBILE CONTROL ACTION WITH ACCOUNT FOR CRITERION OF MAXIMIZING SEPARATION QUALITY. EUREKA: Physics and Engineering, no. 6, 2020.
  • I. Kafiev – P. Romanov – I. Romanova: Fuzzy Logic Based Control System for Automated Guided Vehicle. In 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), pp. 1-6, 2020.
  • I. Romanova – P. Romanov – I. Kafiev: Control System of Portal Car Wash based on the Mamdani Fuzzy Algorithm. In 2020 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon), pp. 1-6, 2020.
  • I. Kafiev – P. Romanov – I. Romanova: Control System of a Robotic Irrigation Machine Based on the Mamdani Fuzzy Algorithm. Journal of Physics: Conference Series, vol. 2096, pp. 012014, 2021.
A. Vasičkaninová – M. Bakošová – A. MészárosJ. Oravec: Fuzzy Controller Design for a Heat Exchanger. In Proceedings of IEEE 19th International Conference on Intelligent Engineering Systems, pp. 225–230, 2015.
  • Number of citations       7
  • Vansovits, Vitali – Tepljakov, Aleksei – Vassiljeva, Kristina – Petlenkov, Eduard: Towards an intelligent control system for district heating plants: Design and implementation of a fuzzy logic based control loop. In Industrial Informatics (INDIN), 2016 IEEE 14th International Conference on, pp. 405--410, 2017.
  • Mohanty M.N. – Mohanty M.D.: In: Patnaik S., Ip A., Tavana M., Jain V. (eds) New Paradigm in Decision Science and Management. Advances in Intelligent Systems and Computing, vol 1005., Chapter: Design of Fuzzy Logic-Based PID Controller for Heat Exchanger Used in Chemical Industry. Springer, Singapore, pp. 371-379, 2020.
  • Eka Iskandar – Mochammad Rameli – Ali Fatoni – Febry Angga Gunawan: Artificial Neural Network Approach for Parameter Estimation in PI Self Tunning Regulator (PI-STR) method on Process Rig 38-714 Pressure Control. JAREE-Journal on Advanced Research in Electrical Engineering Volume 3, Number 1, April 2019, no. 1, vol. 3, pp. 7-12, 2019.
  • Cristian Herrera Acosta – Hernando González Acevedo: Design of an Advanced Control System for a Bayonet Heat Exchanger. doi 10.1109/ETFA.2019.8869464, In 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1481-1484, 2019.
  • Arief, U – Purbawanto, S. – Azhari, A. – Suhono, A. – Prastiyanto, D.: Fuzzy-PID System Control for Tungsten Filament Heater of Thermal Vacuum Evaporation. In roceedings of the 7th Engineering International Conference on Education, Concept and Application on Green Technology (EIC 2018), ISBN: 978-989-758-411-4, pp. 388-392, 2018.
  • J. G. Álvarez – J. M. Armero – C. A. Urrutia: Temperature control in shell-tube heat exchangers: a review of the industry. Entre Ciencia e Ingeniería, no. 27, vol. 14, pp. 41-49, 2020.
  • Rajiv Ranjan – Shalendar Kumar: An Efficient Cascaded Effect Based Parallel Flow Heat Exchanger Using Nonlinear Model Predictive Controller Based Fuzzy Optimization Technique. Arabian Journal for Science and Engineering (2022), 2022.
A. MészárosĽ. Čirka – M. Bakošová – A. Vasičkaninová: On Stability and Controllability of Processes with Internal Recycle. Professor Dr Jiří Klemeš: Celebration of the Jubilee in Science and Engineering, Chemical Engineering Transactions, no. 45, pp. 1735–1740, 2015.
  • Number of citations       1
  • Varbanov, Petar Sabev – Lam, Hon Loong – Nemet, Andreja: Professor Dr Jiri Jaromir Klemes: Celebration of the Jubilee in Science and Engineering. In Pres15: Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, pp. 1717-1722, 2015.
A. Vasičkaninová – M. Bakošová: Fuzzy Model-based Neural Network Predictive Control of a Heat Exchanger. Chemical Engineering Transactions, vol. 45, pp. 313–318, 2015.
  • Number of citations       4
  • Paul, R. – Chokkadi, S.: Implementation of NARMA-L2 Controller for Shell and Tube Heat Exchanger Temperature Process. Industrial and Engineering Chemistry Research, no. 19, vol. 55, pp. 5644-5653, 2016.
  • Sun, L. – Zha, X.-L. – Luo, X.-L.: Coordination of bypass control and economic optimisation for heat exchanger network with stream splits. Chemical Engineering Transactions, vol. 61, pp. 187-192, 2017.
  • Lin Sun – Xinlang Zha – Xionglin Luo: Coordination between bypass control and economic optimization for heat exchanger network. Energy, vol. 160, pp. 318-329, 2018.
  • K. Kaleeswari – T. Johnson – C. Vijayalakshmi: ANALYSIS OF FUZZY LOGIC BASED CONTROL MODEL FOR WATER TREATMENT PLANT IN INDIAN SCENARIO. ARPN Journal of Engineering and Applied Sciences, no. 5, vol. 13, pp. 1780-1785, 2018.
A. Vasičkaninová – M. Bakošová – Ľ. ČirkaM. Kalúz: Comparison of Robust Control Techniques for Use in Continuous Stirred Tank Reactor Control. Editor(s): Fikar, M., In Proceedings of the 8th IFAC Symposium on Robust Control Design, Elsevier, Bratislava, Slovak Republic, no. 8, pp. 284–289, 2015.
  • Number of citations       7
  • Matušů, R.: ROBUST STABILIZATION OF A CONTINUOUS STIRRED TANK REACTORMODEL.. Annals of DAAAM & Proceedings, vol. 27, pp. 147-150, 2016.
  • Radek Matusu: Robust Stabilization of a Continuous Stirred tank Reactor Model. Annals of DAAAM & Proceedings Publisher: DAAAM International Vienna, pp. 147, 2017.
  • M. Kissai – B. Monsuez – D. Martinez – X. Mouton – A. Tapus: Robust Control for Over-Actuated Vehicles. In 2019 IEEE Conference on Control Technology and Applications (CCTA), pp. 822-829, 2019.
  • Ehsan Shakeri – Gholamreza Latif-Shabgahi – Amir Esmaeili Abharian: Design of an intelligent stochastic model predictive controller for a continuous stirred tank reactor through a Fokker-Planck observer. Transactions of the Institute ofMeasurement and Control, no. 10, vol. 40, pp. 3010-3022, 2018.
  • L. Pekař – B. Şenol – R. Matušů: Robust PI Control of Interval Plants With Gain and Phase Margin Specifications: Application to a Continuous Stirred Tank Reactor. IEEE Access, vol. 8, pp. 145372-145380, 2020.
  • Vlahakis, Eleftherios – Halikias, George: Temperature and concentration control of exothermic chemical processes in continuous stirred tank reactors. Transactions of the Institute of Measurement and Control, no. 15, vol. 41, pp. 4274–4284, 2019.
  • Lakshmanan, Vinila Mundakkal – Kallingal, Aparna – Sreekumar, Sreepriya: Robust control of isopropyl benzene production process using H∞ loop shaping control scheme. Journal of Control and Decision, pp. 1–11, 2022.
A. Vasičkaninová – M. Bakošová: Robust Controller Design for a Heat Exchanger. Editor(s): M. Fikar and M. Kvasnica, In Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, pp. 113–118, 2015.
  • Number of citations       10
  • Saha, Subrata – Rudra, Shubhobrata – Dasgupta, Tanmoy – Maitra, Madhubanti: Design of a novel adaptive variable structure control law for industrial heat exchanger process representing a class of non minimum process plant. In Electrical, Computer and Electronics Engineering (UPCON), 2016 IEEE Uttar Pradesh Section International Conference on, pp. 456--460, 2016.
  • Umair Aslam: Development of a Self-tuning PID Controller on Hydraulically Actuated Stewart Platform Stabilizer with Base Excitation. 2017.
  • Olana, F.D. – Retta, B.N. – Abose, T.A. – Atnaw, S.M.: Shell and tube heat exchanger, empirical modeling using system identification. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 308 LNICST, pp. 548-556, 2020.
  • Juan Gonzalo Álvarez Diaz – Juan Manuel Armero Viveros – Carlos Andres Urrutia: Control de temperatura en intercambiadores de calor tipo coraza-tubo: una revisión realizada a la industria. Entre Ciencia e Ingeniería, vol. 14, pp. 41-49, 2020.
  • Mehta, A. – Shah, A. – Shah, D.: Higher order networked sliding mode controller for heat exchanger connected via data communication network. European Journal of Control, vol. 58, pp. 301-314, 2021.
  • A. Roy – S. Prasad Chakravarty – P. Roy: Improved Performance of Heat Exchanger using Multi-Variable Quantitative Feedback Theory based Controller. In 2020 First IEEE International Conference on Measurement, Instrumentation, Control and Automation (ICMICA), pp. 1-6, 2020.
  • Xiao, W. – Ran, H. – Jiang, X. – Li, X. – He, G.: Control Schemes of Hybrid Distillation-vapor Permeation Process for Ethylene/Ethane Separations\\n. Chemical Engineering Transactions, vol. 61, 2017.
  • Horváthová, Michaela – Ishihara, Nijihiko – Oravec, Juraj – Chida, Yuichi: Robust Setpoint Tracking of a Linear System with Discrete Actuators. In 2021 23rd International Conference on Process Control (PC), pp. 229-236, 2021.
  • Firew D. Olana – Tadele A. Abose: PID Temperature Controller Design for Shell and Tube Heat Exchanger. I. J. Engineering and Manufacturing, 2021, vol. 1, pp. 37-46, 2021.
  • Shimelis Admassu Emire – Berhanu A. Demessie – Mekdim K. Assefa – Pieter Verboven – Maarten Hertoga – Bart Nicolai: Kinetic Modeling of Quality Change in Ethiopian Kent Mango Stored Under Different Temperature. In Conference: Advances of Science and Technology, 7th EAI International Conference, ICAST 2019 Bahir Dar, Ethiopia, 2019.
A. Vasičkaninová – M. Bakošová: Control of a heat exchanger using neural network predictive controller combined with auxiliary fuzzy controller. Applied Thermal Engineering, no. 89, pp. 1046–1053, 2015.
  • Number of citations       37
  • Rangwen, Z. – Xuemin, T. – Ping, W.: Adaptive Generalized Predictive Control Based on Just-in-Time Learning in Latent Space. In Proceedings - 2016 8th International Conference on Computational Intelligence and Communication Networks, CICN 2016, pp. 471-475, 2017.
  • Seferlis, P. – Varbanov, P.S – Klemeš, J.J.: Applied thermal engineering solutions through process integration, modelling and optimisation. Applied Thermal Engineering, doi:10.1016/j.applthermaleng.2015.07.060, vol. 89, pp. 1001-1005, 2015.
  • PEKAŘ, L. – PROKOP, R.: Algebraic robust control of a closed circuit heating-cooling system with a heat exchanger and internal loop delays. Applied Thermal Engineering, vol. 113, pp. 1464-1474, 2017.
  • N. Mohana Sundaram – S. N. Sivanandam – V. Renupriya: Artificial Neural Network Approach for Dynamic Modelling of Heat Exchanger for Data Prediction. Indian Journal of Science & Technology, no. 1, vol. 9, 2016.
  • Sina Faizollahzadeh Ardabili – Asghar Mahmoudi – Tarahom Mesri Gundoshmian: Modeling and simulation controlling system of HVAC using fuzzy and predictive (radial basis function, RBF) controllers. Journal of Building Engineering, vol. 6, pp. 301-308, 2016.
  • G. M. Sarabeevi – M. Laila Beebi: Temperature control of shell and tube heat exchanger system using internal model controllers. In 2016 International Conference on Next Generation Intelligent Systems (ICNGIS), Kottayam, India, pp. 1-6, 2016.
  • Abdulrahman A.A.Emhemed – Aleisawee Alsseid – Dirman Hanafi: Modelling and Controller Design for Temperature Control of Power Plant Heat Exchanger. Universal Journal of Control and Automation, http://www.hrpub.org DOI: 10.13189/ujca.2017.050302, no. 3, vol. 5, pp. 49-53, 2017.
  • Yaran Wang – Shijun You – Wandong Zheng – Huan Zhang – Xuejing Zheng – Qingwei Miao: State space model and robust control of plate heat exchanger for dynamic performance improvement. Applied Thermal Engineering, vol. 128, pp. 1588-1604, 2018.
  • Libor Pekař – Radek Matušů: Robust stability of thermal control systems with uncertain parameters: The graphical analysis examples. Applied Thermal Engineering, vol. 125, pp. 1157-1163, 2017.
  • Rajarshi Paul – Shreesha Chokkadi: Implementation of NARMA-L2 Controller for Shell and Tube Heat Exchanger Temperature Proces. Ind. Eng. Chem. Res., no. 19, vol. 55, pp. 5644-5653, 2016.
  • Xinlang Zha – Lin Sun – Xionglin Luo: Coordination between bypass control and economic optimization for heat exchanger network. Energy, vol. 160, pp. 318-329, 2018.
  • L. Shuai – X. Wang – S. Li: Fuzzy PID Controller Design of Air Handling Unit for Constant Temperature and Humidity Air-Conditioning. doi={10.1109/IHMSC.2016.219}, In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), pp. 410-414, 2016.
  • Tao Yan – Lijun Sun: Fuzzy Control-based Automation Control System Design for Polymer Preparation Station. Chemical Engineering Transactions, vol. 66, pp. 763-768, 2018.
  • S. Raab – B. J. Doering – D. Rudolf – J. Reimann – M. Schwerdt: Analysis of an Improved Temperature Management Concept for SAR System Calibration Transponders. In Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Rada, pp. 1-6, 2016.
  • V. V. Bukhtoyarov – V. S. Tynchenko – N. A. Bukhtoyarova: DEVELOPING SAFETY MANAGEMENT MODELS OF TECHNOLOGICAL EQUIPMENT TRANSITION MODES BASED ON ARTIFICIAL NEURAL NETWORKS. Р е ш е т н е в с к и е ч те н и я. 2 017, pp. 180-182, 2017.
  • Maida Bárbara Reyes Rodríguez – Jorge Laureano Moya Rodríguez – Cristiano Hora Fontes: Determination of design and operation parameters of a surface condenser using an adaptive neuro-fuzzy inference system. International Journal of Heat and Mass Transfer, vol. 138, pp. 17-24, 2019.
  • Jin Y. – Sun L. – Hua Q. – Chen S.: Experimental Research on Heat Exchanger Control Based on Hybrid Time and Frequency Domain Identification. Sustainability, vol. 10, pp. 2667, 2018.
  • Brage Rugstad Knudsen – Hanne Kauko – Trond Andresen: An Optimal-Control Scheme for Coordinated Surplus-Heat Exchange in Industry Clusters. Energies, no. 12, vol. 10, pp. 1877, 2019.
  • S. Tian – H. Li – Y. Wang: Brain Emotional Learning Networks with Applications. In 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS), pp. 37-41, 2019.
  • BRENO SALDANHA SOUSA: Level control of coupled tanks system based on neural network techniques: Controle de nível de tanques interativos baseados em técnicas de redes neurais artificiais. 2019.
  • Mert Sinan Turgut – Mustafa Turhan Çoban: Neural Network Predictive Control of a Vapor Compression Cycle. Arabian Journal for Science and Engineering, no. 2, vol. 45, pp. 779-796, 2020.
  • Carvalho, C.B. – Carvalho, E.P. – Ravagnani, M.A.S.S.: Implementation of a neural network MPC for heat exchanger network temperature control. Brazilian Journal of Chemical Engineering, no. 4, vol. 37, pp. 729-744, 2020.
  • Selma, B. – Chouraqui, S. – Abouaïssa, H.: Optimization of ANFIS controllers using improved ant colony to control an UAV trajectory tracking task. SN Appl. Sci. 2, 878 (2020).. SN Appl. Sci. 2, vol. 878, 2020.
  • Sallam, O.K. – Azar, A.T. – Guaily, A. – Ammar, H.H.: Tuning of PID Controller Using Particle Swarm Optimization for Cross Flow Heat Exchanger Based on CFD System Identification. Advances in Intelligent Systems and Computing, vol. 1058, pp. 300-312, 2020.
  • Sun, L. – Yang, Z.-H. – Luo, X.-L.: Bypass control for heat exchanger networks based on frequency domain stability analysis [基于频域稳定性分析的换热网络旁路控制]. Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities, no. 1, vol. 34, pp. 171-181, 2020.
  • Sousa, B.S. – Silva, F.V. – Fileti, A.M.F.: Level Control of Coupled Tank System Based on Neural Network Techniques. Chemical Product and Process Modeling, no. 3, vol. 15, 2020.
  • Selma, B. – Chouraqui, S. – Abouaïssa, H.: Hybrid ANFIS-ant colony based optimisation for quadrotor trajectory tracking control. International Journal of Modelling, Identification and Control, no. 1, vol. 34, pp. 13-25, 2020.
  • Beigzadeh, R. – Eiamsa-ard, S.: Fuzzy logic to thermal and friction characteristics of turbulent air-flow over diamond-shaped turbulators. International Communications in Heat and Mass Transfer, no. 105001, vol. 120, 2021.
  • Carvalho, C.B. – Carvalho, E.P. – Ravagnani, M.A.S.S.: Combined neural networks and predictive control for heat exchanger networks operation [Kombinovanje neuronskih mreža i prediktivne kontrole u radu mreža razmenjivača toplote]. Chemical Industry and Chemical Engineering Quarterly, no. 2, vol. 26, pp. 125-134, 2020.
  • N. Mohanasundaram: Recurrent Neural Network approach for data prediction of a chemical process plant. In 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pp. 1257-1261, 2020.
  • Chaoyang Wang – Ming Liu – Yongliang Zhao – Junjie Yan: Thermodynamic optimization of the superheater during switching theload transient processes. Energy, vol. 218, pp. 119446, 2021.
  • Jean Pierre Corriou – Ahmed Maidi: Advanced Analytic and Control Techniques for Thermal Systems With Heat Exchangers, Chapter: PDE control of heat exchangers by input-output linearization approach. Academic Press, Ed. Libor Pekar, HAL Id: hal-02902179, pp. 367-386, 2021.
  • Dutta, Debaprasad – Upreti, Simant R.: Artificial intelligence-based process control in chemical, biochemical, and biomedical engineering. The Canadian Journal of Chemical Engineering, 2021.
  • Truong Ngoc Cuong – Hwan-Seong Kim – Sam-Sang You – Duy Anh Nguyen: Seaport throughput forecasting and post COVID-19 recovery policy by using effective decision‐making strategy: A case study of Vietnam ports. Computers & Industrial Engineering, 2022.
  • So, Gun-Baek: DS-Based 2-DOF PID Controller of a Regasification System for LNG-Fueled Marine Engine. Journal of Marine Science and Engineering, no. 5, vol. 10, pp. 606, 2022.
  • Sarwadnya, R. – Jadhav, Seema: Modeling of pine sleek PID control system in AC heat exchanger. Journal of Ambient Intelligence and Humanized Computing, 2022.
  • Resma Madhu P. K. – Jayalalitha Subbaiah: Iterative quality weighted interpolation for LPV-MPC control of industrial heat exchanger under varying fouling conditions. Asia-Pacific Journal of Chemical Engineering, pp. e2811, 2022.
A. Vasičkaninová – M. Bakošová: Control of a Heat Exchanger Using Neural Network Predictive Controller and Auxiliary Fuzzy Controller. Chemical Engineering Transactions, vol. 39, pp. 331–336, 2014.
  • Number of citations       1
  • Bukhtoyarov, V. V. – Tynchenko, V. S. – Petrovskiy, E. A. – Bashmur, K. A. – Kukartsev, V. V. – Bukhtoyarova, N. A.: Neural network controller identification for refining process. Journal of Physics: Conference Series (2019) DOI: 10.1088/1742-6596/1399/4/044095, no. 4, vol. 1399, 2019.
A. Vasičkaninová – M. Bakošová: Control of a Heat Exchanger Using Takagi-Sugeno Fuzzy Model. Editor(s): Ivo Petráš, Igor Podlubny, Ján Kačur, Radim Farana, In Proceedings of 15th International Carpathian Control Conference, Velke Karlovice, Czech Republic, pp. 646–651, 2014.
  • Number of citations       2
  • Jaime Freddy Ricardo Barrera – Edgar Barrios Urueña: CONTROL MULTIVARIABLE LINEAL CON DESACOPLES EN UN INTERCAMBIADOR DE CALOR Linear multivariable control with decoupling in a heat exchanger. Revista Ingeniería, Investigación y Desarrollo, no. 1, vol. 17, pp. 17-25, 2017.
  • H. G. Acevedo – C. H. Acosta: Design of an Advanced Control System for a Bayonet Heat Exchanger. In 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 10.1109/ETFA.2019.8869464, pp. 1481-1484, 2019.
A. Vasičkaninová – M. Bakošová – J. Kmeťová: Fuzzy Control of a Heat Exchanger Using Fuzzy C-Means Clustering Algorithm. Editor(s): Markoš, J., In Proceedings of the 41st International Conference of Slovak Society of Chemical Engineering, Slovak Society of Chemical Engineering, Tatranské Matliare, Slovakia, pp. 917–926, 2014.
  • Number of citations       2
  • Abdulrahman A.A.Emhemed – Aleisawee Alsseid – Dirman Hanafi: Modelling and Controller Design for Temperature Control of Power Plant Heat Exchanger. Universal Journal of Control and Automation, http://www.hrpub.org DOI: 10.13189/ujca.2017.050302, no. 3, vol. 5, pp. 49-53, 2017.
  • M. Horňák: Fuzzy Control of the Distillation Column (in Slovak). Bachelor's thesis, ÚIAM FCHPT STU v Bratislave, Radlinského 9, 812 37 Bratislava., 2016.
A. Vasičkaninová – M. Bakošová: Robust control of a chemical reactor with uncertainties. Acta Chimica Slovaca, no. 2, vol. 6, pp. 194–201, 2013.
  • Number of citations       2
  • Bzioui Sana – Channa Rafik: Robust H-infinity tracking control of MIMO nonlinear systems. Application to non-isothermal CSTR. 2017 International Conference on Control, Automation and Information Sciences (ICCAIS), doi={10.1109/ICCAIS.2017.8217592}, ISSN={2475-7896}, pp. 50-55, 2017.
  • Sana Bzioui – Rafik Channa: Robust Tracking Control for the Non-isothermal Continuous Stirred Tank Reactor. INT.J.BIOAUTOMATION, 2020, doi: 10.7546/ijba.2020.24.2.000615, no. 2, vol. 24, pp. 131-142, 2020.
A. Vasičkaninová – M. Bakošová: Application of H2 and H∞ Approaches to the Robust Controller Design for a Heat Exchanger. Chemical Engineering Transactions, vol. 35, pp. 463–468, 2013.
  • Number of citations       6
  • Tatang Mulyana: PARAMETRIC AND NONPARAMETRIC IDENTIFICATION OF SHELL AND TUBE HEAT EXCHANGER MATHEMATICAL MODEL. Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia, 2014.
  • Sit M. L. – Patsiuk V. I. – Juravliov A. A. – Burciu V.I. – Timchenko D.V.: Control of Heat Exchanger with Variable Heat Transfer Surface Area. PROBLEMELE ENERGETICII REGIONALE, no. 39, vol. 1, pp. 90-101, 2019.
  • Shah, D. – Shah, A. – Mehta, A.: Higher order networked sliding mode controller for heat exchanger connected via data communication network. European Journal of Control, vol. 58, pp. 301-314, 2021.
  • Marvis I. Aririguzo – C.B. Mbachu: Transport Control Protocol Based Computer Wireless Network Performance Enhancement. International Journal of Engineering Research & Technology (IJERT) http://www.ijert.org ISSN: 2278-0181 IJERTV10IS050018, www.ijert.org, no. 5, vol. 10, pp. 277-282, 2021.
  • Henrietta U. Udeani – Hyacinth C. Inyiama – Kenneth A. Akpado – Chukwudi E. Agbaraji: Heat Exchanger Performance and Stability Improvement Using H2 Synthesis Control Design Techniqu. Journal of Scientific Research & Reports, no. 10, vol. 26, pp. 70-80, 2020.
  • Muhammad Nasir – Muhammad Muzamil Aslam – Zahoor Ahmed: Stabilization of an arbitrary order transfer function with time delay H2 Controller. PAKISTAN JOURNAL OF EMERGING SCIENCE AND TECHNOLOGIES (PJEST), no. 2, vol. 2, 2021.
J. Kmeťová – A. Vasičkaninová – J. Dvoran: Neuro-fuzzy Control of Exothermic Chemical Reactor. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 19th International Conference on Process Control, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 168–172, 2013.
  • Number of citations       5
  • Santos, F. R. – Arcaro, L. F.: SISTEMAS INTELIGENTES HÍIBRIDOS (NEURO-FUZZY). 2013.
  • Oprea, M. – Mihalache, S. F. – Cărbureanu, M.: New Approaches in Intelligent Control, Chapter: Knowledge-Based Intelligent Process Control. Springer, DOI:10.1007/978-3-319-32168-4_7, pp. 207-240, 2016.
  • Goran Andonov – Edwin Lughofer – Igor Škrjanc: A COMPARISON OF RECCO AND FCPFC CONTROLLER ON NONLINEAR CHEMICAL REACTOR. In Proceedings of the IASTED International Conference February 20 - 21, 2017 Innsbruck, Austria Modelling, Identification and Control (MIC 2017), pp. 214-221, 2017.
  • Lopes, A. N. D. – Leite, V. J. S. – Silva, L. F. P.: On the integral action of discrete-time fuzzy TS control under saturated actuator.. Publisher IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, In IEEE International Conference on Fuzzy Systems, Rio de Janeiro, BRAZIL, 2018.
  • Lopes, A.N.D. – Leite, V.J.S. – Silva, L.F.P. – Guelton, K.: Anti-windup TS Fuzzy PI-like Control for Discrete-Time Nonlinear Systems with Saturated Actuators. International Journal of Fuzzy Systems, no. 1, vol. 22, pp. 46-61, 2020.
A. Vasičkaninová – M. Bakošová – M. Karšaiová – J. Kmeťová: Methods for Controller Tuning for Unstable Systems. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 19th International Conference on Process Control, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 208–213, 2013.
  • Number of citations       1
  • K. Amuthambigaiyin Sundari – P. Maruthupandi: Optimal Design of PID Controller for the analysis of Two TANK System Using Metaheuristic Optimization Algorithm. Journal of Electrical Engineering & Technology, 2021.
J. Kmeťová – A. Vasičkaninová – J. Dvoran: Neuro-fuzzy Control of the Continuous Stirred-tank Reactor. Editor(s): Markoš, J., In Proceedings of the 40th International Conference of Slovak Society of Chemical Engineering, Slovak Society of Chemical Engineering, Tatranské Matliare, Slovakia, pp. 1107–1116, 2013.
  • Number of citations       4
  • Adriano N. D. Lopes – Valter J. S. Leite – Luis F. P. Silva – Kevin Guelton: Anti-windup TS Fuzzy PI-like Control for Discrete-Time Nonlinear Systems with Saturated Actuators. International Journal of Fuzzy Systems, vol. 22, pp. 46–61, 2020.
  • A. N. D. Lopes – V. J. S. Leite – L. F. P. Silva: On the integral action of discrete-time fuzzy TS control under saturated actuator. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ), 2018.
  • I Škrjanc – E Lughofer – G Andonovski: A COMPARISON OF RECCO AND FCPFC CONTROLLER ON NONLINEAR CHEMICAL REACTOR. In Proceedings of the IASTED International Conference, Modelling, Identification and Control (MIC 2017), 2 0 1 7 I n n s b r u c k , A u s t r i a, pp. 214-221, 2017.
  • G. Andonovski: Samorazvijajoˇci se sistemi pri spremljanju in vodenju procesov (Evolving systems in process monitoring and control), PhD thesis, Univerza v Ljubljani, Fakulteta za elektrotehniko, 2018. 2018.
A. Vasičkaninová – M. Bakošová: Robust control of heat exchangers. Chemical Engineering Transactions, vol. 29, pp. 1363–1368, 2012.
  • Number of citations       8
  • Bernard, M. Z. – Mohamed, T. H. – Mitani, Y. – Qudaih, Y. S.: CDM application on power system as a load frequency controller. In 2013 IEEE Electrical Power and Energy Conference, EPEC 2013, pp. 1-5, 2013.
  • Dulău, M. – Oltean, S. – Gligor, A.: Conventional Control vs. Robust Control on Heat-exchangers. Procedia Technology, vol. 19, pp. 534 - 540, 2015.
  • Matušů, R. – Pekař, L.: Robust stability of thermal control systems with uncertain parameters: The graphical analysis examples. Applied Thermal Engineering, vol. 125, pp. 1157-1163, 2017.
  • Jin Y. – Sun L. – Hua Q. – Chen S.: Experimental Research on Heat Exchanger Control Based on Hybrid Time and Frequency Domain Identification. Sustainability, vol. 10, pp. 2667, 2018.
  • Bilal ŞENOL – Uğur DEMİROĞLU: Proportional-Integral Controller Design for Thermal Systems. Journal of the Institute of Science and Technology, no. 1, vol. 10, pp. 128 - 140, 2020.
  • Henrietta U. Udeani – Hyacinth C. Inyiama – Kenneth A. Akpado – Chukwudi E. Agbaraji: Heat Exchanger Performance and Stability Improvement Using H2 Synthesis Control Design Technique. Journal of Scientific Research & Reports, no. 10, vol. 26, pp. 70-80, 2020.
  • Lianjie Zhang – Tianrui Deng – Jiří Jaromír Klemeš – Min Zeng – Ting Ma – Qiuwang Wang: Supercritical CO2 Brayton cycle at different heat source temperatures and its analysis under leakage and disturbance conditions. Energy, vol. 237, pp. 121610, 2021.
  • Hanan Rizk: Comparison of Conventional Control and Robust Control on Double-Pipe Heat Exchanger. World Academy of Science, Engineering and Technology International Journal of Electrical and Information Engineering, no. 9, vol. 15, pp. 536-542, 2021.
A. Vasičkaninová – M. Bakošová: Neuro-fuzzy Control of Integrating Processes. Acta Montanistica Slovaca, no. 1, vol. 16, pp. 74–83, 2011.
  • Number of citations       3
  • Galal Ali Hassaan: Tuning of a Feed forward Lag-Lead First-Order Compensator used with a Fractional Time Delay Double Integrating Proces. International Journal of Engineering and Techniques, ISSN: 2395-1303, http://www.ijetjournal.org, no. 3, vol. 1, pp. 108-111, 2015.
  • Galal Ali Hassaan: Tuning of a Feedforward Lag - Lead First - Order Compensator used with a Delayed Double Integrating Process. International Journal of Recent Engineering Science (IJRES), ISSN: 2349 - 7157, www.ijresonli ne.com, vol. 11, pp. 3-7, 2015.
  • Oprea, M. – Mihalache, S. F. – Cărbureanu, M.: New Approaches in Intelligent Control, Chapter: Knowledge-Based Intelligent Process Control. Springer, DOI:10.1007/978-3-319-32168-4_7, pp. 207-240, 2016.
A. Vasičkaninová – M. Bakošová – M. Karšaiová: Neural Network Predictive Control and Neuro-Fuzzy Control of Heat Exchanger, In Selected Topics in Modelling and Control, Editor(s): J. Mikleš, V. Veselý, Slovak University of Technology Press Bratislava, no. 7, pp. 28–34, 2011.
  • Number of citations       1
  • B. Parvizi1 – A. Khanlarkhani – Y. Palizdar – A.Farshad: Comparison of ANFIS and ANN modeling for predicting the behavior of a catalytic methane reformer. Bulgarian Chemical Communications, DOI: 10.34049/bcc.51.2.4778, no. 2, vol. 51, pp. 190-199, 2019.
A. Vasičkaninová – M. Bakošová: Fuzzy control of integrating processes. In Proceedings of the 12th International Carpathian Control Conference (ICCC 2011), Velke Karlovice, Czech Republic, pp. 418–423, 2011.
  • Number of citations       2
  • Arun D. Sonar – Prashant B. Patel – Ankit V. Bhandari – Dinesh S. Bawge: Control for pulverized fuel coal mill. Electronic ISBN: 978-1-4673-6817-9, DOI: 10.1109/ICESA.2015.7503379, In 2015 International Conference on Energy Systems and Applications, 2015.
  • Oprea M. – Mihalache S.F. – Cărbureanu M.: Nakamatsu K., Kountchev R. (eds) New Approaches in Intelligent Control. Intelligent Systems Reference Library, Chapter: Knowledge-Based Intelligent Process Control. Springer, Cham, https://doi.org/10.1007/978-3-319-32168-4_7, pp. 207-240, 2016.
A. Vasičkaninová – M. Bakošová – A. Mészáros – J. Klemeš: Neural network predictive control of a heat exchanger. Applied Thermal Engineering, vol. 31, pp. 2094–2100, 2011.
  • Number of citations       92
  • Ahmed, D.F.: Artificial Neural Network Control of Chemical Processes. Eng. & Tech. Journal, no. 1, vol. 32, Part (A), pp. 176-196, 2014.
  • Liang Yang – Ze-Yu Li – Liang-Liang Shao – Chun-Lu Zhang: Model-based dimensionless neural networks for fin-and-tube condenser performance evaluation. International Journal of Refrigeration, http://dx.doi.org/10.1016/j.ijrefrig.2014.01.006, 2014.
  • Porteiro,J. – Collazo,J. – Patiño,D. – Míguez,J. L.: Diesel engine condition monitoring using a multi-net neural network system with nonintrusive sensors. Applied Thermal Engineering, no. 17-18, vol. 31, pp. 4097-4105, 2011.
  • Colorado,D. – Ding,X. – Hernández,J. A. – Andaverde,J. – Juárez,D.: Error propagation on a hybrid evaporator model. Chemical Engineering Transactions, vol. 25, pp. 393-398, 2011.
  • Hernández, J. A. – Colorado, D. – Cortés-Aburto, O. – El Hamzaoui, Y. – Velazquez, V. – Alonso, B.: Inverse neural network for optimal performance in polygeneration systems. Applied Thermal Engineering, no. 2, vol. 50, pp. 1399-1406, 2013.
  • Colorado, D. – Ding, X. – Hernández, J. A. – Alonso, B.: Hybrid evaporator model: Analysis under uncertainty by means of Monte Carlo method. Applied Thermal Engineering, vol. 43, pp. 148-152, 2012.
  • Tóth, L. R. – Nagy, L. – Szeifert, F.: Nonlinear inversion-based control of a distributed parameter heating system. Applied Thermal Engineering, vol. 43, pp. 174-179, 2012.
  • Almutairi, N. B. – Zribi, M.: Control of a plate heat exchanger using the terminal sliding mode technique. Industrial and Engineering Chemistry Research, no. 12, vol. 51, pp. 4610-4623, 2012.
  • Wang, Z. – Sun, Y. – Qi, G. – Van Wyk, B. J.: Model free control based on GIMC structure. International Journal of Control, Automation and Systems, no. 1, vol. 10, pp. 173-179, 2012.
  • Li, N. – Xia, L. – Shiming, D. – Xu, X. – Chan, M.: On-line adaptive control of a direct expansion air conditioning system using artificial neural network. Applied Thermal Engineering, no. 1, vol. 53, pp. 96-107, 2013.
  • Karim Salahshoor – Sepide Zakeri – Morteza Haghighat Sefat: Stabilization of gas-lift oil wells by a nonlinear model predictive control scheme based on adaptive neural network models. Engineering Applications of Artificial Intelligence, 2013.
  • Abdullah, Zalizawati – Kasmuri, Nor Hazelah: Comparison of Static and Dynamic Neural Network Models in Predicting Outlet Temperature of Shell and Tube Heat Exchanger Plant. In Signal Processing and its Applications (CSPA), 2013 IEEE 9th International Colloquium on, pp. 7-10, 2013.
  • Boniecki, P. – Dach, J. – Mueller, W. – Koszela, K. – Przybyl, J. – Pilarski, K. – Olszewski, T.: Neural prediction of heat loss in the pig manure composting process. Applied Thermal Engineering, no. 1-2, vol. 58, pp. 650-655, 2013.
  • Yau-Zen Chang – Jung-Fu Hou – Zhi-Ren Tsai2: Adaptive Neuron-Like Control of Time-Delay Systems Enhanced with Feed-Forward and Supervisory Strategies. Mathematical Problems in Engineering, 2013.
  • Jakovlev, S. – Voznak, M. – Ruibys, K. – Andziulis, A.: Predictive Control of Radio Telescope Using Multi-layer Perceptron Neural Network, vol. 210, 2013.
  • Pirdashti, M. – Curteanu, S. – Kamangar, M.H. – Hassim, M.H. – Khatami, M.A.: Artificial neural networks: applications in chemical engineering. Reviews in Chemical Engineering, no. 4, vol. 29, pp. 205-239, 2013.
  • Victor Leonardo Cavalcante Melo da Silva: Predição da Incrustação em um Trocador de Calor Basead a em Redes Neurais Artificiais, Dissertação de Mestrado, Universidade Federal do Rio Grande do Norte Centro de Tecnologia. 2013.
  • Song, Z. – Murray, B. T. – Sammakia, B.: A dynamic compact thermal model for data center analysis and control using the zonal method and artificial neural networks. Applied Thermal Engineering, no. 1, vol. 62, pp. 48-57, 2014.
  • Victor Leonardo Cavalcante Melo da Silva – Jorge Dantas de Melo – Adrião Duarte Dória Neto – Márcia Maria Lima Duarte: S ISTEMA N EURAL PARA P REDIÇÃO DA I NCRUSTAÇÃO EM T ROCADOR DE C ALOR. In XI SIMPOSIO BRASILEIRO DE AUTOMAÇÃO INTELIGENTE, Fortaleza, pp. Artigo 4875, 2013.
  • Tayyebi, S. – Alishiri, M.: The control of MSF desalination plants based on inverse model control by neural network. Desalination, vol. 333, pp. 92-100, 2014.
  • CALVO-ROLLE, J.L. – FONTENLA-ROMERO, O. – PÉREZ-SÁNCHEZ, B. – GUIJARRO-BERDIÑAS, B.: Adaptive Inverse Control Using an Online Learning Algorithm for Neural Networks. INFORMATICA, no. 3, vol. 25, pp. 401-414, 2014.
  • Gouws, R. – Le Roux, E.: Design and heat flow analysis of a commercial energy efficient in-line water heating system. World Journal of Engineering, no. 3, vol. 11, pp. 239-246, 2014.
  • Jakovlev, S. – Voznak, M. – Andziulis, A. – Ruibys, K.: Application of predictive control methods for Radio telescope disk rotation control. Soft Computing, no. 4, vol. 18, pp. 707-716, 2014.
  • Kandroodi, M. R. – Moshiri, B.: Identification and model predictive control of continuous stirred tank reactor based on artificial neural networks. In Proceedings - 2011 2nd International Conference on Control, Instrumentation and Automation, ICCIA 2011, pp. 338-343, 2012.
  • Varbanov, P. S.: Energy and water interactions: Implications for industry. Current Opinion in Chemical Engineering, vol. 5, pp. 15-21, 2014.
  • Borkar Pravin Kumar – Jha Manoj – Qureshi M.F. – Agrawal G.K.: Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type - 2 Based Fuzzy Inference System. International Journal of Innovative Research in Science, Engineering and Technology, ISSN: 2319 - 8753, no. 9, vol. 3, pp. 16072-16082, 2014.
  • László Richárd Tóth – Lajos Nagy – Ferenc Szeifert: Comparison of Different Inversion Methods in Controller Strategies. Ian David Lockhart Bogle and Michael Fairweather (E ditors), Proceedings of the 22nd European Symposium on Computer Aided Process Engineering, 17 ( 20 June 2012, London. © 2012 Elsevier B.V., 2012.
  • Mohanraja, M. – Jayarajb, S. – Muraleedharanb, C.: Applications of artificial neural networks for thermal analysis of heat exchangers – A review. International Journal of Thermal Sciences, doi:10.1016/j.ijthermalsci.2014.11.030, vol. 90, pp. 150-172, 2015.
  • Kandananond, K.: The Regulation of Steam Pressure in A Drum Boiler by Neural Network and System Identification Technique. In Current Approaches in Applied Artificial Intelligence, Editor(s): Ali, Moonis and Kwon, Young Sig and Lee, Chang-Hwan and Kim, Juntae and Kim, Yongdai, Springer International Publishing, pp. 425-434, 2015.
  • Iyengar, Ananth S: Thermal analysis of shell and tube heat exchangers using artificial neural networks. Ethiopian Journal of Science and Technology, no. 2, vol. 8, pp. 107--120, 2016.
  • Ebrahimzadeh, E. – Wilding, P. – Frankman, D. – Fazlollahi, F. – Baxter, L.L: Theoretical and experimental analysis of dynamic plate heat exchanger: non-retrofit configuration. Applied Thermal Engineering, doi:10.1016/j.applthermaleng.2015.10.017, vol. 93, pp. 1006-1019, 2016.
  • Javed, A. – Larijani, H. – Ahmadinia, A. – Emmanuel, R.: Modelling and optimization of residential heating system using random neural networks. In Proceedings - 2014 IEEE International Conference on Control Science and Systems Engineering, CCSSE 2014, pp. 90-95, 2014.
  • Quraishi, R. – Ahmed, N. – Shafiq, M.: Neural Networks based Adaptive Tracking for Nonlinear Systems. International Information Institute (Tokyo). Information, no. 6(A), vol. 18, pp. 2457-2476, 2015.
  • Ebrahimzadeh, Edris – Wilding, Paul – Frankman, David – Fazlollahi, Farhad – Baxter, Larry L: Theoretical and experimental analysis of dynamic heat exchanger: Retrofit configuration. Energy, vol. 96, pp. 545--560, 2016.
  • Paul, R. – Chokkadi, S.: Implementation of NARMA-L2 Controller for Shell and Tube Heat Exchanger Temperature Process. Industrial & Engineering Chemistry Research, 2016.
  • Shabanian, S. R. – lashgari, S. – Hatami, T.: Application of intelligent methods for the prediction and optimization of thermal characteristics in a tube equipped with perforated twisted tape. Numerical Heat Transfer, Part A: Applications, doi: 10.1080/10407782.2016.1139982, pp. 1-18, 2016.
  • Ebrahimzadeh, Edris: Mitigating Transients and Azeotropes During Natural Gas Processing. 2016.
  • Abdullah, N. – Yee, T.C. – Mohamed, A. – Mustafa, M.M. – Osman, M.H. – Mohamad, A.B.: Control of Continuous Stirred Tank Reactor using Neural Networks. Indian Journal of Science and Technology, DOI: 10.17485/ijst/2016/v9i21/95238, no. 21, vol. 9, pp. 1-7, 2016.
  • Li, D. – Lu, T. – Liu, L. – Jin, Q.: Fractional modeling of heating process using improved NLJ algorithm. IEEE DOI: 10.1109/ChiCC.2016.7555011, pp. 10447-10452, 2016.
  • PEKAŘ, L. – PROKOP, R.: Algebraic robust control of a closed circuit heating-cooling system with a heat exchanger and internal loop delays. Applied Thermal Engineering, vol. 113, pp. 1464-1474, 2017.
  • Díez Morante, Francisco Javier: Optimización del rendimiento en los sistemas solares térmicos mediante modelos neurales. 2016.
  • Forstenhäusler, M. – Mirsadraee, A. – Malayeri, M.R.: Discrimination of input parameters for crude oil fouling using an integrated non‐parametric method. Chemical Engineering & Technology 10.1002/ceat.201600392, 2016.
  • Kondakci, T. – Zhou, W.: Recent Applications of Advanced Control Techniques in Food Industry. Food Bioprocess Technol DOI 10.1007/s11947-016-1831-x, pp. 1-21, 2016.
  • Mohamed Tarek Khadir: Artificial Neural Networks in Food Processing. Modeling and Predictive Control, De Gruyter: Berlin, Germany, 2021.
  • L. Pekař – R. Prokop: Compromising controller parameters setting for a delayed thermal process. In 2017 21st International Conference on Process Control (PC), pp. 115-119, 2017.
  • Asensio, FJ – San Martin, JI – Zamora, I – Garcia-Villalobos, J: Fuel cell-based CHP system modelling using Artificial Neural Networks aimed at developing techno-economic efficiency maximization control systems. Energy, vol. 123, pp. 585--593, 2017.
  • Qureshi, Omer A – Calvet, Nicolas – Armstrong, Peter R: Thermal modelling and control of 130kw direct contact (salt/air) heat exchanger. In AIP Conference Proceedings, pp. 110012, 2017.
  • Kondakci, Turkay – Zhou, Weibiao: Recent Applications of Advanced Control Techniques in Food Industry. Food and Bioprocess Technology, no. 3, vol. 10, pp. 522--542, 2017.
  • Daranda, Andrius – Andziulis, Arūnas – Jakovlev, Sergej – Voznak, Miroslav – Eglynas, Tomas: Research on ship autonomous steering control for short-sea shipping problems. Transport, no. 2, vol. 32, pp. 198--208, 2017.
  • Forstenhäusler, Marc – Mirsadraee, Alireza – Malayeri, M Reza: Determination of Input Parameters for Crude-Oil Fouling Using an Integrated Non-Parametric Method. Chemical Engineering & Technology, no. 3, vol. 40, pp. 470--479, 2017.
  • Ng, Boon Chiang: Soft computing based controllers for automotive air conditioning system with variable speed compressor. Universiti Teknologi Malaysia, Faculty of Mechanical Engineering, 2015.
  • Michal Fratczak – Jacek Czeczot – Pawel Nowak – Mieczyslaw Metzger: Practical validation of the effective control of liquid–liquid heat exchangers by distributed parameter balance-based adaptive controller. Applied Thermal Engineering, vol. 129, pp. 549–556, 2018.
  • Amir H. Tarighaleslamia – Martin J. Atkins – Timothy G. Walmsley – James R. Nealea – Michael R.W. Walmsley: Utility Exchanger Network Design for Non-Isothermal Utility Considering Process Control. In PRES 2018 Proceedings of the 21st Conference on Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction, pp. 97-102, 2018.
  • Marian Trafczynski – Mariusz Markowski – Krzysztof Urbaniec – Robert Grabarczyk: Energy Saving Potential and the Efficacy of Using Different Control Strategies for the Heat Exchanger Network Operation. Chemical Engineering Transactions, vol. 70, pp. 823-828, 2018.
  • C. A. Helder: Disclosure of elementary feedforward control algorithm for heat exchangers. 2021.
  • Faouzi Bouani – Ahmed Mnasser: Stable robust predictive controller for nonlinear systems. International Journal of Intelligent Engineering Informatics, no. 5, vol. 6, pp. 448-467, 2018.
  • Jixia Han – Yi Hu – Songyi Dian: The State-of-the-art of Model Predictive Control in Recent Years. IOP Conference Series: Materials Science and Engineering, no. 1, vol. 428, pp. 1-6, 2018.
  • Taghizadeh Mostafa – Javad Yarmohammadi, M: Development of a Self-tuning PID Controller on Hydraulically Actuated Stewart Platform Stabilizer with Base Excitation. International Journal of Control, Automation and Systems, doi 10.1007/s12555-016-0559-8, 2018.
  • Umair Aslam: Model Predictive Control of a Time-Varying Phase-Change Heat Transfer Problem with Applications in Enhanced Oil Recovery. 2017.
  • S. Tian – H. Li – Y. Wang: Brain Emotional Learning Networks with Applications. doi 10.1109/DDCLS.2019.8909009, In 2019 IEEE 8th Data Driven Control and Learning Systems Conference (DDCLS), pp. 37-41, 2019.
  • Sit M.L. – Goncharov O.I. – Juravliov A.A. – Burciu V.I. – Timchenko D.V.: Heat Pump Utilizing Heat Exchangers with Variable Heat Transfer Surface. PROBLEMELE ENERGETICII REGIONALE, no. 38, vol. 3, pp. 52-61, 2018.
  • Alexander Kramer – Fernando Morgado-Dias: Applications of Artificial Neural Networks in Process Control Applications: A review. In 2018 International Conference on Biomedical Engineering and Applications (ICBEA), Funchal, Portugal, 2018.
  • Marian Trafczynski – Mariusz Markowski – Krzysztof Urbaniec: Energy saving potential of a simple control strategy for heat exchanger network operation under fouling conditions Author links open overlay panel. Renewable and Sustainable Energy Reviews, vol. 111, pp. 355-364, 2019.
  • Sit M. L. – Patsiuk V. I. – Juravliov A. A. – Burciu V.I. – Timchenko D.V.: Control of Heat Exchanger with Variable Heat Transfer Surface Area. PROBLEMELE ENERGETICII REGIONALE, vol. 1, pp. 90-101, 2019.
  • Carolina B. Carvalho – Esdras P. Carvalho – Mauro A. S. S. Ravagnani: Improving energy recovery by optimal control in heat exchanger networks under fouling. In I Brazilian Congress on Process Systems Engineering (PSE-BR 2019), 2019.
  • Mariusz Markowski – Przemyslaw Trzcinski: On-line control of the heat exchanger network under fouling constraints. Energy, 2019.
  • Nasser Mohamed Ramli – Bawadi Abdullah: Network Modeling of Heat Exchanger. International Journal of Scientific Engineering and Science , ISSN (Online):2456-7361, no. 2, vol. 3, pp. 10-15, 2019.
  • M. He – Z. Li – X. Han – M. Cabassud – B. Dahhou: Development of a Numerical Model for a Compact Intensified Heat-Exchanger/Reactor. Processes 2019, doi:10.3390/pr7070454, no. 454, vol. 7, 2019.
  • F Ascione – N Bianco – GM Mauro – DF Napolitano – GP Vanoli: Weather-data-based control of space heating operation via multi-objective optimization: Application to Italian residential buildings. Applied Thermal Engineering, 2019.
  • Asghari, M. – Dashti, A. – Rezakazemi, M. – Jokar, E. – Halakoei, H.: Application of neural networks in membrane separation. Reviews in Chemical Engineering, no. 2, vol. 36, pp. 265-310, 2020.
  • C. Mendil – M. Kidouche – M. Z. Doghmane: Automatic control of a heat exchanger in a nuclear power station: The classical and the fuzzy methods. In 2019 International Conference on Advanced Electrical Engineering (ICAEE), Algiers, Algeria, pp. 1-6, 2019.
  • Indah Soesanti – Ramadoni Syahputra: A Fuzzy Logic Controller Approach for Controlling Heat Exchanger Temperature. Journal of Electrical Technology UMY (JET-UMY), no. 4, vol. 3, pp. 117-124, 2019.
  • Turgut, M.S. – Çoban, M.T.: Neural Network Predictive Control of a Vapor Compression Cycle. Arabian Journal for Science and Engineering, no. 2, vol. 45, pp. 779-796, 2020.
  • Zhang, X. – Yuan, Z. – Cui, H. – Luo, P.: Application of Neural Network Predictive Control in Cement Combined Grinding. In Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020, pp. 2414-2418, 2020.
  • Karimi, Hamid Reza – Liu, Dongyu – Jiang, Baoping – Li, Bo: RBF Neural Network Sliding Mode Control for Passification of Nonlinear Time-Varying Delay Systems with Application to Offshore Cranes. Sensors, no. 14, vol. 22, pp. 5253, 2022.
  • Jinchen Tang – Cila Herman – Guangcai Gong: A novel self-adaptive control strategy of frost prevention and retardation for air source heat pumps in winter conditions. Applied Mathematical Modelling, https://doi.org/10.1016/j.apm.2020.02.027, 2020.
  • Ananth S. Iyengar: Thermal analysis of shell and tube heat exchangers using artificial neural networks. Ethiop. J. Sci. & Technol., no. 2, vol. 8, pp. 107-120, 2015.
  • Omer A. Qureshi – Nicolas Calvet – Peter R. Armstrong: Thermal Modelling and Control of 130kw Direct Contact (Salt/Air) Heat Exchanger. Project: Concentrated Solar Power on Demand - Demonstration project, SolarPACES 2016-HX Control-full paper(Abstract ID 36986)_submitted.pdf, 2019.
  • Carvalho, C.B. – Carvalho, E.P. – Ravagnani, M.A.S.S.: Implementation of a neural network MPC for heat exchanger network temperature control. Brazilian Journal of Chemical Engineering, no. 4, vol. 37, pp. 729-744, 2020.
  • Noureddine Mansour – Mohamed Bin Shams – Hussain Ismai: Model predictive controller for a retrofitted heat exchanger temperature control laboratory experiment. Indonesian Journal of Electrical Engineering and Computer Science, vol. 25, pp. 857-866, 2022.
  • Kramer, A. – Morgado-Dias, F.: Artificial intelligence in process control applications and energy saving: a review and outlook. Greenhouse Gases: Science and Technology, 2020.
  • Horváthová, Michaela – Ishihara, Nijihiko – Oravec, Juraj – Chida, Yuichi: Robust Setpoint Tracking of a Linear System with Discrete Actuators. In 2021 23rd International Conference on Process Control (PC), pp. 229-236, 2021.
  • Mohsen Hadian – Saeyed Mohammad Ebrahimi Saryazdi – Ardashir Mohammadzadeh – Masoud Babaeid: Applications of Artificial Intelligence in Process Systems Engineering, Chapter: Chapter 11 - Application of artificial intelligence in modeling, control, and fault diagnosis. Elsevier, pp. 255-323, 2021.
  • Dutta, Debaprasad – Upreti, Simant R.: Artificial intelligence-based process control in chemical, biochemical, and biomedical engineering. The Canadian Journal of Chemical Engineering, 2021.
  • Hadian, Mohsen – Mehrshadian, Milad – Karami, Mahboobeh – Biglary Makvand, Amin: Event-based neural network predictive controller application for a distillation column. Asian Journal of Control, no. 2, vol. 23, pp. 811-823, 2021.
  • W. Cui – F. Liang – L. Sun: Artificial Neural Network and Its Application Research Progress in Chemical Process. Electrical Engineering and Systems Science, Systems and Control, 2021.
  • Pengcheng Yang – Qiaofeng Wu – Kai Xiao – Xiaofei Pu – Jie Chen – Ying Zhang: A neural network predictive control method for power control of small pressurized water reactors. Annals of Nuclear Energy, vol. 169, pp. 108946, 2022.
  • Danish Saifi – Pramod Kumar: Advances in Mechanical Engineering and Technology, Chapter: Robust Control Design of Active Suspension System for Quarter Car with Neural Network and Ziegler–Nichols Tuning Method. Springer Singapore, pp. 397–406, 2022.
  • Srikshana Sasidaran – Adithya R. – Haris Raja V. – M.P.Anbarasi: Recent Trends in Model Predictive Control. International Journal of Innovative Science and Research Technology, no. 2, vol. 7, pp. 249-254, 2022.
  • Xiong-Lin Luo – Chao Ren – Lin Sun: Online control system reconfiguration towards long period energy-saving optimization of heat exchanger networks. Journal of Cleaner Production, pp. 132940, 2022.
  • Resma Madhu P. K. – Jayalalitha Subbaiah: Iterative quality weighted interpolation for LPV-MPC control of industrial heat exchanger under varying fouling conditions. Asia-Pacific Journal of Chemical Engineering, no. n/a, vol. n/a, pp. e2811, 2022.
  • Çimen, Murat – Garip, Zeynep – EMEKLİ, Mehmet – Boz, Ali Fuat: Fuzzy Logic PID Design using Genetic Algorithm under Overshoot Constrained Conditions for Heat Exchanger Control. Journal of the Institute of Science and Technology, pp. 164-181, 2022.
A. Vasičkaninová – M. Bakošová – M. Karšaiová: Neuro-fuzzy Control of a Chemical Reactor with Uncertainties. Editor(s): Fikar, M., Kvasnica. M., In Proceedings of the 18th International Conference on Process Control, Slovak University of Technology in Bratislava, Tatranská Lomnica, Slovakia, pp. 360–365, 2011.
  • Number of citations       1
  • J. Kmeťová – J. Dvoran: Neuro-fuzzy control of a chemical reactor. Editor(s): P. Varbanov, H. L. Lam, A. Nemet, J. Klemeš, In Proceedings of the International CAPE Forum 2012, Press of the University of Pannonia, pp. 45–45, 2012.
A. Vasičkaninová – M. Bakošová: Intelligent Control of Heat Exchangers. Chemical Engineering Transactions, vol. 25, pp. 165–170, 2011.
  • Number of citations       4
  • Boldyryev, S. – Garev, A. – Ilunin, O. – Shamraev, A. – Selyakov, O. – Leshchenko, O. – Kapustenko, P.: Modified criterion for economic efficiency estimation of heat pumps, vol. 35, 2013.
  • H. BEIRAMI – M. M. ZERAFAT: SELF-TUNING OF AN INTERVAL TYPE-2 FUZZY PID CONTROLLER FOR A HEAT EXCHANGER SYSTEM. IJST, Transactions of Mechanical Engineering, no. M1, vol. 39, pp. 113-129, 2015.
  • Duka, Adrian-Vasile – Oltean, Stelian-Emilian: Fuzzy control of a heat exchanger. In Automation Quality and Testing Robotics (AQTR), 2012 IEEE International Conference on, pp. 135--139, 2012.
  • Lin Sun – Xinlang Zha – Xionglin Luo: Coordination between bypass control and economic optimization for heat exchanger network. Energy, vol. 160, pp. 318-329, 2018.
A. Vasičkaninová – M. Bakošová: Locally Optimal Fuzzy Control of a Heat Exchanger. WSEAS Transcations on Systems, no. 9, vol. 9, pp. 999–1008, 2010.
  • Number of citations       12
  • Isa, A.I. – Hamza, M.F.: Effect of sampling time on PID controller design for a heat exchanger system. In IEEE International Conference on Adaptive Science and Technology, ICAST, 2015.
  • Al-Tae, A. H. K.: Comparative Study of Temperature Control in a Heat Exchanger Process. 2011.
  • Irawan, Addie – Nonami, Kenzo – Daud, Mohd Razali: Optimal Impedance Control with TSK-Type FLC for Hard Shaking Reduction on Hydraulically Driven Hexapod Robot. In Autonomous Control Systems and Vehicles, pp. 223--236, 2013.
  • Nonami, Kenzo – Barai, Ranjit Kumar – Irawan, Addie – Daud, Mohd Razali: Impedance Control and Its Adaptive for Hexapod Robot. In Hydraulically Actuated Hexapod Robots, pp. 169--197, 2014.
  • Lalot, S. – Guðmundsson, O. – Pálsson, H. – Pálsson, O. P.: Heat exchanger identification by using iterative fuzzy observers. Heat and Mass Transfer, doi:10.1007/s00231-015-1613-4, no. 5, vol. 52, pp. 937–946, 2016.
  • Irawan, A. – Moktadir Alam, M. – Tan, Y.Y.: PD-FLC with admittance control for hexapod robot's leg positioning on seabed. In Control Conference (ASCC), 2015 10th Asian, pp. 1-5, 2015.
  • Saranya, SN – Sivakumar, VM – Thirumarimurugan, M – Sowparnika, GC: Modeling and control of plate type heat exchangers using PI and PID controllers. In Intelligent Systems and Control (ISCO), 2017 11th International Conference on, pp. 439--443, 2017.
  • Lezaini, Wan – Nafis, Wan Mohd – Irawan, Addie – Ali, Sheikh Norhasmadi Sheikh: Forkloader Position Control for A Mini Heavy Loaded Vehicle using Fuzzy Logic-Antiwindup Control.. Telkomnika, no. 2, vol. 15, pp. 739~745, 2017.
  • S.N. Saranya – M. Thirumarumurugan – V.M. Sivakumar – G.C. Sowparnika: An Optimal Analysis of Controller Strategies for Different Heat Exchangers – A Review. Middle-East Journal of Scientific Research, no. 4, vol. 25, pp. 761-775, 2017.
  • Md. Moktadir Alam – Addie Irawan – Tan Yee Yin: Buoyancy effect control in multi legged robot locomotion on seabed using integrated impedance-fuzzy logic approach. Indian Journal of Geo-Marine Sciences, no. 12, vol. 44, pp. 1937-1945, 2015.
  • Alam, Md. Moktadir – Irawan, Addie – Yin, Tan Yee: Buoyancy effect control in multi legged robot locomotion on seabed using\\n integrated impedance-fuzzy logic approach. Indian Journal of Geo-marine Sciences, no. 12, vol. 44, pp. 1937-1945, 2015.
  • Isa, Abdulbasid Ismail – Hamza, Mukhtar F.: EFFECT OF SAMPLING TIME ON PID CONTROLLER DESIGN FOR A HEAT EXCHANGER\\n SYSTEM. In Proceedings of the 2014 IEEE 6th International Conference on Adaptiven Science and Technology (icast 2014), 2014.
A. Vasičkaninová – M. Bakošová – A. Mészáros – J. Klemeš: Neural network predictive control of a heat exchanger. Chemical Engineering Transactions, vol. 21, pp. 73–78, 2010.
  • Number of citations       18
  • Manenti,G.: A calculation procedure for a heat exchanger and bypass equipment. Computers and Chemical Engineering, no. 11, vol. 35, pp. 2378-2388, 2011.
  • Colorado,D. – Ding,X. – Hernández,J. A. – Andaverde,J. – Juárez,D.: Error propagation on a hybrid evaporator model. Chemical Engineering Transactions, vol. 25, pp. 393-398, 2011.
  • Leite,M. S. – Dos Santos,B. F. – Lona,L. M. F. – Da Silva,F. V. – Frattini Fileti,A. M.: Application of artificial intelligence techniques for temperature prediction in a polymerization process. Chemical Engineering Transactions, vol. 24, pp. 385-390, 2011.
  • Hernández, J. A. – Colorado, D. – Cortés-Aburto, O. – El Hamzaoui, Y. – Velazquez, V. – Alonso, B.: Inverse neural network for optimal performance in polygeneration systems. Applied Thermal Engineering, no. 2, vol. 50, pp. 1399-1406, 2013.
  • Colorado, D. – Ding, X. – Hernández, J. A. – Alonso, B.: Hybrid evaporator model: Analysis under uncertainty by means of Monte Carlo method. Applied Thermal Engineering, vol. 43, pp. 148-152, 2012.
  • Tóth, L. R. – Nagy, L. – Szeifert, F.: Nonlinear inversion-based control of a distributed parameter heating system. Applied Thermal Engineering, vol. 43, pp. 174-179, 2012.
  • Almutairi, N. B. – Zribi, M.: Control of a plate heat exchanger using the terminal sliding mode technique. Industrial and Engineering Chemistry Research, no. 12, vol. 51, pp. 4610-4623, 2012.
  • Wang, Z. – Sun, Y. – Qi, G. – Van Wyk, B. J.: Model free control based on GIMC structure. International Journal of Control, Automation and Systems, no. 1, vol. 10, pp. 173-179, 2012.
  • Porteiro, J. – Collazo, J. – Patiño, D. – Míguez, J. L.: Diesel engine condition monitoring using a multi-net neural network system with nonintrusive sensors. Applied Thermal Engineering, no. 17-18, vol. 31, pp. 4097-4105, 2011.
  • Al-Tae, A. H. K.: Comparative Study of Temperature Control in a Heat Exchanger Process. 2011.
  • Borkar, P. K. – Jha, M. – Qureshi, M. F. – Agrawal, G. K.: Intelligent optimal control of a heat exchanger using interval type-2 and adaptive network based fuzzy inference system,A New Approach. Advances in Modelling and Analysis C, no. 1-2, vol. 67, pp. 1-19, 2012.
  • Shanu Khan: Modelling and Temperature Control of Heat Exchanger process. INTERNATIONAL JOURNAL FOR RESEARCH IN APPLIED SCIENCE AND ENGINEERING TECHNOLOGY (IJRASET), ISSN: 2321-9653, no. II, vol. 2, pp. 66-72, 2014.
  • Afraa H. Al - Tae – Safa A . Al - Naimi: Comparative Study of Temperature Cotrol in a Heat Exchnger Process. Eng. & Tech . Journal, no. 10, vol. 30, pp. 1707-1731, 2012.
  • Karim Khodaie – Zahra Korehbandi – Kazem Shahverdi: Monthly Temperature Prediction using ANNs and ANFIS (Case Study: Tehran City). Journal of Science and today's world, ISSN 2322 - 326 X, no. 4, vol. 2, pp. 358-365, 2013.
  • Vuppala John Venkanna – Ginuga Prabhaker Reddy – V Ramesh Kumar: Comparative Analysis of PID and NARMA L2 Controllers for Shell and Tube Heat Exchanger. International Journal of Advanced Engineering, Management and Science (IJAEMS), no. 8, vol. 2, pp. 1202-1207, 2016.
  • Saranya, SN – Sivakumar, VM – Thirumarimurugan, M – Sowparnika, GC: Modeling and control of plate type heat exchangers using PI and PID controllers. In Intelligent Systems and Control (ISCO), 2017 11th International Conference on, pp. 439--443, 2017.
  • S.N. Saranya – M. Thirumarumurugan – V.M. Sivakumar – G.C. Sowparnika: An Optimal Analysis of Controller Strategies for Different Heat Exchangers – A Review. Middle-East Journal of Scientific Research, no. 4, vol. 25, pp. 761-775, 2017.
  • Ramadoni Syahputra – Indah Soesanti: A Fuzzy Logic Controller Approach for Controlling Heat Exchanger Temperature. Journal of Electrical Technology UMY (JET-UMY), no. 4, vol. 3, pp. 117-124, 2019.
M. Bakošová – A. Vasičkaninová – M. Karšaiová: Robust Static Output Feedback Stabilization of an Exothermic Chemical Reactor with Input Constraints. Editor(s): N. Mastorakis, V. Mladenov, Z. Bojkovic, V. Vasek, In Latest Trends on Systems, WSEAS Press, Corfu Island, Greece, no. I, vol. 14, pp. 341–346, 2010.
  • Number of citations       2
  • Chen,C. -. – Naidu,D. S. – Schoen,M. P.: Adaptive control for a five-fingered prosthetic hand with unknown mass and inertia. WSEAS Transactions on Systems, no. 5, vol. 10, pp. 148-161, 2011.
  • Gyurkovics, E.V.A. – Takacs, T.: Lmi based bounded output feedback control for uncertain systems. WSEAS Transactions on Systems, vol. 13, pp. 679-689, 2014.
A. Vasičkaninová – M. Bakošová: Neural Network Predictive Control of a Chemical Reactor. Acta Chimica Slovaca, no. 2, vol. 2, pp. 21–36, 2009.
  • Number of citations       22
  • Abdel-Ghaffar, H. – Shoukry, Y. – Hassan, A. – Hammad, S.: Neural Generalized Predictive Controller Stability Analysis. In 15th International Conference on System Theory, Control, and Computing (ICSTCC), 2011, Sinaia, pp. 1 - 6, 2011.
  • Putrus, K.M.: Implementation of Neural Control for Continuous Stirred Tank Reactor (CSTR). Al-Khwarizmi Engineering Journal, no. 1, vol. 7, pp. 39-55, 2011.
  • Hajimolana, S. A. – Hussain, M. A. – Daud, W. M. A. Wan – Chakrabarti, M. H.: Neural Network Predictive Control of a SOFC Fuelled with Ammonia. INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, no. 4, vol. 7, pp. 3737-3749, 2012.
  • Hesham F. Abdel Ghaffar – Sherif A. Hammad – Ahmed H. Yousef: Stability analysis of embedded nonlinear predictor neural generalized predictive controller. Alexandria Engineering Journal, no. 1, vol. 53, pp. 41--60, 2014.
  • Ahmed, D.F.: Artificial Neural Network Control of Chemical Processes. Eng. & Tech. Journal, no. 1, vol. 32, Part (A), pp. 176-196, 2014.
  • Shyamalagowri, M – Rajeswari, R: Neural Network Predictive Controller Based Nonlinearity Identification Case Study: Nonlinear Process Reactor - CSTR. Advanced Materials Research, vol. 984-985, pp. 1326-1334, 2014.
  • Kai Qi – Yifei Chen – Baicheng Liu – Shangfeng Du: Research on Neural Network Model for Greenhouse Temperature Predictive Control. In Proceedings of 2013 Chinese Intelligent Automation Conference, pp. 551--557, 2013.
  • Saravanan, S – Geetha, K: Design of Neural Network Predictive Controller and EBFO based PI Controller for Variable Speed Single Phase Induction Motor Drive. System, no. 7, vol. 6, pp. 8, 2014.
  • Latreche, S. – Mostefai, M. – Badoud, A.E. – Khemliche, M.: Modeling and Monitoring of a Distillation Column. International Journal of Computer and Information Technology (ISSN: 2279 – 0764), no. 06, vol. 03, pp. 1504-1513, 2014.
  • Невиницын, Владимир Юрьевич: Анализ и синтез комплекса "жидкофазный химический реактор - управляющая система" с использованием методов синергетики. 2013.
  • Saravanan, S. – Geetha, K.: Single Phase Induction Motor Drive with Restrained Speed and Torque Ripples Using Neural Network Predictive Controller. Circuits and Systems, vol. 7, pp. 3670- 3684, 2016.
  • Dr. P. Poongodi – R. Madhu Sudhanan: Comparative Analysis of Various ControlStrategies for a Nonlinear CSTR System. International Journal of Nonlinear Sciences and Numerical Simulation, no. 3-4, vol. 18, pp. 269-276, 2017.
  • Fouad Shaker Tahir Al-azawi: Self-tuning of PID Controllers Based on Neuro-Predictive Controller for an active magnetic bearing. BULLETIN OF MATHEMATICS AND STATISTICS RESEARCH A Peer Reviewed International Research Journal, no. 3, vol. 5, pp. 1-6, 2017.
  • Deepa, S.N. – Baranilingesan, I.: Optimized deep learning neural network predictive controller for continuous stirred tank reactor. Computers and Electrical Engineering, 2017.
  • P. Poongodi – R.Madhu Sudhanan: MODELING OF TEMPERATURE PROCESS SYSTEM AND ITS PERFORMANCE ANALYSIS USING VARIOUS CONTROL STRATEGIES. Pak. J. Biotechnol. (special issue on Innovations in information Embedded and communication Systems), vol. 13, pp. 538-543, 2016.
  • D. Mansouri, – B. Rezaie: Nonlinear Model Predictive Control based on Neural Network Model for Controlling CSTR System. In 3rd International Conference on Research & Innovation in Computer, Electronics and Manufacturing Engineering (RICEME-17), pp. 119-123, 2017.
  • Amit Gupta: Introduction to Deep Learning: Part 1. CEP Magazine, www.aiche.org/cep, pp. 22-29, 2018.
  • Eleftherios Vlahakis – George Halikias: Temperature and concentration control of exothermic chemical processes in continuous stirred tank reactors. Transactions of the Institute of Measurement and Control, pp. 1-11, 2019.
  • Nataliya Shakhovska – Sergio Montenegro – Yurii Kryvenchuk – Maryana Zakharchuk: The Neurocontroller for Satellite Rotation. International Journal of Intelligent Systems and Applications (IJISA), DOI: 10.5815/ijisa.2019.03.01, no. 3, vol. 11, pp. 1-10, 2019.
  • Pablo Antonio López Pérez – Ricardo Aguilar López – Ricardo Femat: Control in Bioprocessing: Modeling, Estimation and the Use of Soft Sensors, Chapter: Control of Bioprocess. © 2020 John Wiley & Sons Ltd, pp. Chapter 4, 2020.
  • Taekgyu Lee – Yeonsik Kang: Performance Analysis of Deep Neural Network Controller for Autonomous Driving Learning from a Nonlinear Model Predictive Control Method. Electronics doi = {10.3390/electronics10070767}, vol. 10, pp. 767, 2021.
  • Dongyoon Seo – Jinyoung Lee – Yeonsik Kang – Taekgyu Lee: Real-Time Drift-Driving Control for an Autonomous Vehicle: Learning from Nonlinear Model Predictive Control via a Deep Neural Network. Electronics, vol. 11, pp. 2651, 2022.
A. Vasičkaninová – M. Bakošová: Neural Network Predictive Control of a Chemical Reactor. Editor(s): Javier Otamendi, Andrzej Bargiela, José Luis Montes , Luis Miguel Doncel Pedrera, In Proceedings 23rd European Conference on Modelling and Simulation ECMS 2009, Digitaldruck Pirrot GmbH 66125 Sbr.-Dudweiler, Germany, Rey Juan Carlos University, Madrid, Spain, vol. 23, pp. 563–569, 2009.
  • Number of citations       9
  • Sharma, L. – Shukla, S.: Improving Stability of Rotor using Model Predictive Controller. International Journal of Enhanced Research in Science Technology & Engineering, no. 7, vol. 2, pp. 116-122, 2013.
  • Qi, K. – Chen, Y. – Liu, B. – Du, S.: Research on Neural Network Model for Greenhouse Temperature Predictive Control. In Proceedings of 2013 Chinese Intelligent Automation Conference, pp. 551--557, 2013.
  • Sharma, L. – Shukla, S.: Application of Model Predictive Control for Improving Stability of Rotor and Controlling Active Rotor Vibration.. International Journal of Computer Applications, no. 13, vol. 72, pp. 17-22, 2013.
  • Ahmad, M. A. – Ishak, A. A. – Ismail, K. N.: Enhanced Fuzzy Logic Controller for Simulated HE Temperature Control System.. Advanced Materials Research., vol. 1113, pp. 715-722, 2015.
  • Shrivastava, P.: Modeling and Control of CSTR using Model based Neural Network Predictive Control. International Journal of Computer Science and Information Security, no. 7, vol. 10, pp. 38-43, 2012.
  • Shrivastava, P. – Trivedi, A.: CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL. International Journal of Engineering Science and Technology (IJEST), ISSN : 0975-5462, no. 4, vol. 3, pp. 2573-2581, 2011.
  • Елисеев, Владимир Леонидович: Разработка и исследование нейросетевых алгоритмов управления стационарными и нестационарными объектами. 2012.
  • Eleftherios Vlahakis – George Halikias: Temperature and concentration control of exothermic chemical processes in continuous stirred tank reactors. Transactions of the Institute of Measurement and Control. https://doi.org/10.1177/0142331219855591, pp. 1-11, 2019.
  • Madhu Sudhanan, R. – Poongodi, D.P.: Comparative Analysis of Various Control Strategies for a Nonlinear CSTR System. International Journal of Nonlinear Sciences and Numerical Simulation, no. 3-4, vol. 18, pp. 269-276, 2017.
A. Vasičkaninová – M. Bakošová: Neural Network Predictive Control of a Chemical Reactor. Editor(s): Fikar, M., Kvasnica, M., In Proceedings of the 17th International Conference on Process Control ’09, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, pp. 426–431, 2009.
  • Number of citations       5
  • M.Srinivasa Rao – B.Bharath Kumar: A Frame work for performance evaluation of a process industry: A case study. International Journal of Engineering Trends and Technology (IJETT), no. 4, vol. 26, pp. 182-189, 2015.
  • P. Poongodi – R. Madhu Sudhanan: Simulation of temperature control methodologies for chemical reactor. Journal of Chemical and Pharmaceutical Research, ISSN: 0975-7384, www.jocpr.com, no. 7, vol. 9, pp. 682-689, 2015.
  • Sudhanan, R Madhu – Poongodi, P: Comparative Analysis of Various Control Strategies for a Nonlinear CSTR System. International Journal of Nonlinear Sciences and Numerical Simulation, no. 3-4, vol. 18, pp. 269--276, 2017.
  • S.A. Al-Mawsawi – A. Haider – Q. Alfaris: Neural Network Model Predictive Control (NNMPC) Design for UPFC. WSEAS TRANSACTIONS on COMPUTERS DOI: 10.37394/23205.2020.19.25, vol. 19, pp. 201-207, 2020.
  • Elena V. Rozhko – Tatyana Barbasova – Lev Kazarinov: Advances in Automation II, Ed. Radionov, Andrey A. and Gasiyarov, Vadim R., Chapter: A Method for Stabilizing Blast Furnace Process Thermal State.. Springer International Publishing, Cham, pp. 22-31, 2021.
A. Vasičkaninová – M. Bakošová – A. Mészáros – J. Závacká: Model-based predictive control of a chemical reactor. In 18th International Congress of Chemical and Process Engineering, Orgit s.r.o., Praha, Czech Republic, pp. 0623-1–0623-6, 2008.
  • Number of citations       12
A. Vasičkaninová – M. Bakošová: Fuzzy model-based predictive control of a chemical reactor. In Proceedings of European Congress of Chemical Engineering (ECCE-6), Copenhagen, pp. CD ROM 1407.pdf, 2007.
  • Number of citations       1
A. Vasičkaninová – M. Bakošová – M. Karšaiová: Cascade Fuzzy Logic Control of a Distillation Column. Editor(s): J. Mikleš, M. Fikar, M. Kvasnica, In Proceedings of the 16th International Conference Process Control '07, Slovak University of Technology in Bratislava, pp. 093f.pdf, 2007.
  • Number of citations       1
  • Díaz, S. – Pérez-Correa, J. R. – Cipriano, Aldo – Fernández-Fernández, M.: Intelligent control applications on a binary distillation column. In 2016 IEEE International Conference on Automatica (ICA-ACCA), pp. 1-8, 2016.
A. Vasičkaninová – M. Bakošová: Fuzzy modelling and identification of the chemical technological processes. Editor(s): S. Krejčí, In Proceedings of the 7th International Scientific - Technical Conference Process Control 2006, University of Pardubice, University of Pardubice, Kouty nad Desnou, Czech Republic, pp. 170, 2006.
  • Number of citations       3
A. Vasičkaninová – M. Bakošová: Cascade fuzzy logic control of a chemical reactor. Editor(s): J. Mikleš, M. Fikar, J. Dvoran, In Proceedings of the 15th International Conference Process Control '05, Slovak University of Technology in Bratislava, Štrbské Pleso, High Tatras, Slovakia, 2005.
  • Number of citations       5
  • Snehal N. Rajguru – Pritesh Shah – Neela Rayavarapu – PriyankaTupe: Application of fuzzy controllers for flow control processes in chemical industries. Journal of Chemical and Pharmaceutical Research, ISSN: 0975-7384, no. 12, vol. 6, pp. 403-410, 2014.
  • Dinesh Singh Rana: Fuzzy logic based automation and control simulation of Sulfuric acid manufacturing process: A case study. IOSR Journal of Engineering (IOSRJEN), ISSN: 2250 - 3021, no. 8, vol. 2, pp. 19-35, 2012.
  • Tamboli, Sadik – Rawale, Mallikarjun – Thoraiet, Rupesh – Agashe, Sudhir: Implementation of Modbus RTU and Modbus TCP communication using Siemens S7-1200 PLC for batch process. In 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), pp. 258-263, 2015.
  • Parvesh Saini, Rajesh Kumar, Nalini Rajput: Cascade - PID Control of a Nonlinear Chemical Process. NONLINEAR STUDIES, no. 4, vol. 23, pp. 561-568, 2016.
  • Parvesh Saini – Rajesh Kumar – Priyanka Sharma – Nalini Rajput: Singh R., Choudhury S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 479., Chapter: Design and Comparative Analysis of Controllers for Continuous Stirred Tank Reactor (CSTR). Springer, Singapor, pp. 351--365, 2017.
Facebook / Youtube

Facebook / Youtube

RSS