Číslo projektu:
UVP ITMS:26240220084
Názov projektu:
Univerzitný vedecký park STU Bratislava
Typ projektu:
Operačné programy
Začiatok projektu:
00.00.2013
Koniec projektu:
00.00.2015

Program

Operačný program Výskum a vývoj, prioritná os č. 4, opatrenie Podpora sietí excelentných pracovísk výskumu a vývoja ako pilierov rozvoja regiónu v Bratislavskom kraji

Partneri

  • STU v Bratislave

Číslo projektu

OPVaV-2012/4.2/08-RO, ITMS:26240220084

Čas riešenia

1.4.2013 – 30.6.2015

Ciele projektu

  • Posilnenie spolupráce vo výskume a vývoji medzi hospodárskou a akademickou sférou vytvorením univerzitného vedeckého parku orientovaného na vybrané vedné odbory
  • Zriadenie a budovanie UVP STU Bratislava
  • Aplikovaný výskum
  • Podpora prenosu technológií a poznatkov do praxe

Aktivita UAIM

2.1.4 Aplikovaný výskum a vývoj v oblasti chemického inžinierstva: WP – 2.1.4.3 výskum a vývoj v oblasti modelovania a riadenia technologických a výrobných procesov. Hlavným cieľom aktivity je zlepšenie vybavenia a aplikovaný výskum v oblasti modelovania a riadenia procesov.

Riešitelia: M. Bakošová, M. Fikar, M. Kvasnica, K. Macušková (FCHPT), C. Belavý, G. Hulkó, B. Rohaľ-Ilkiv (SjF)

Publikácie

2021

  1. J. OravecM. Horváthová – M. Bakošová: Multivariable Robust MPC Design for Neutralization Plant: Experimental Analysis. European Journal of Control, zv. 58, str. 289–300, 2021.
  2. P. Valiauga – X. Feng – M. Villanueva – R. Paulen – B. Houska: Set-membership Estimation using Ellipsoidal Ensembles. Editor(i): Jong Min Lee, V 16th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2021, Elsevier, str. 596–601, 2021.     arXiv

2020

  1. M. HorváthováJ. Oravec – M. Bakošová: Efficient Convex-Lifting-Based Robust Control of a Chemical Reactor. Chemical Engineering Transactions, zv. 81, str. 865–870, 2020.
  2. M. HorváthováJ. Oravec – M. Bakošová: Real-Time Convex-lifting-based Robust Control Using Approximated Control Law. V 59th IEEE Conference on Decision and Control, Jeju Island, Republic of Korea, zv. 59, str. 2160–2165, 2020.
  3. J. OravecM. Horváthová – M. Bakošová: Energy efficient convex-lifting-based robust control of a heat exchanger. Energy, č. 201, str. 117566, 2020.
  4. R. Paulen – L. Gomoescu – B. Chachuat: Nested Sampling Approach to Set-membership Estimation. Editor(i): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, V Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, zv. 21, str. 7318–7323, 2020.     arXiv
  5. C. E. Valero – M. Villanueva – B. Houska – R. Paulen: Set-Based State Estimation: A Polytopic Approach. Editor(i): Rolf Findeisen, Sandra Hirche, Klaus Janschek, Martin Mönnigmann, V Preprints of the 21st IFAC World Congress (Virtual), Berlin, Germany, July 12-17, 2020, zv. 21, str. 11428–11433, 2020.     arXiv

2019

  1. P. BakaráčM. Kvasnica: Approximate explicit robust model predictive control of a CSTR with fast reactions. Chemical papers, č. 3, zv. 73, str. 611–618, 2019.
  2. K. FedorováP. BakaráčM. Kvasnica: Comparison of Two Approaches to Agile Manoeuvres via MPC. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  3. K. FedorováP. BakaráčM. Kvasnica: Agile Manoeuvres using Model Predictive Control. Acta Chimica Slovaca, č. 1, zv. 12, str. 136–141, 2019.
  4. M. Furka – M. Klaučo: Development and Implementation of Control Algorithms for Furuta Pendulum. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  5. A. R. Gottu Mukkula – R. Paulen: Optimal experiment design in nonlinear parameter estimation with exact confidence regions. Journal of Process Control, zv. 83, str. 187–195, 2019.
  6. K. KišM. Klaučo: Neural Networks Trained as Explicit Tunable MPC Feedback Controllers. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 22nd International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, 2019.
  7. M. KlaučoM. KalúzM. Kvasnica: Machine learning-based warm starting of active set methods in embedded model predictive control. Engineering Applications of Artificial Intelligence, zv. 77, str. 1–8, 2019.
  8. M. KlaučoM. Kvasnica: MPC-Based Reference Governors, Editor(i): M. J. Grimble, A. Ferrara, Springer, 2019.
  9. M. KvasnicaP. BakaráčM. Klaučo: Complexity reduction in explicit MPC: A reachability approach. Systems & Control Letters, zv. 124, str. 19–26, 2019.
  10. J. Oravec – M. Bakošová: Zbierka príkladov z robustného riadenia, Vydavateľstvo FCHPT, FCHPT STU, Radlinského 9, 812 37 Bratislava, 2019.
  11. J. Oravec – M. Bakošová – L. Galčíková – M. Slávik – M. HorváthováA. Mészáros: Soft-constrained robust model predictive control of a plate heat exchanger: Experimental analysis. Energy, zv. 180, str. 303–314, 2019.
  12. J. OravecJ. HolazaM. Horváthová – N. A. Nguyen – M. Kvasnica – M. Bakošová: Convex-lifting-based robust control design using the tunable robust invariant sets. European Journal of Control, zv. 49, str. 44–52, 2019.
  13. R. PaulenM. Fikar: Dynamic real-time optimization of batch processes using Pontryagin’s minimum principle and set-membership adaptation. Computers & Chemical Engineering, zv. 128, str. 488–495, 2019.
  14. R. PaulenM. Fikar: Dual-Control-Based Approach to Batch Process Operation under Uncertainty Based on Optimality-Conditions Parametrization. Industrial & Engineering Chemistry Research, č. 30, zv. 58, str. 13508–13516, 2019.
  15. A. Sharma – R. Valo – M. KalúzR. PaulenM. Fikar: Implementation of optimal strategy to economically improve batch membrane separation. Journal of Process Control, zv. 76, str. 155–164, 2019.

2018

  1. M. KlaučoĽ. Čirka – J. Kukla: Non-linear model predictive control of conically shaped liquid storage tanks. Acta Chimica Slovaca, č. 2, zv. 11, str. 141–146, 2018.
  2. M. KlaučoM. Kvasnica: Towards On-Line Tunable Explicit MPC Using Interpolation. V Preprints of the 6th IFAC Conference on Nonlinear Model Predictive Control, Madison, Wisconsin, USA, 2018.
  3. R. PaulenM. Fikar: Dual robust control of batch processes based on optimality-conditions parameterization. V Preprints, 10th IFAC International Symposium on Advanced Control of Chemical Processes Shenyang, Liaoning, China, July 25-27, 2018, Elsevier, str. 768–773, 2018.
  4. U. Sharma – S. Thangavel – A. R. Gottu Mukkula – R. Paulen: Effective Recursive Parallelotopic Bounding for Robust Output-Feedback Control. V 18th IFAC Symposium on System Identification, IFAC, str. 1032–1035, 2018.
  5. S. Thangavel – S. Lucia – R. Paulen – S. Engell: Dual robust nonlinear model predictive control: A multi-stage approach. Journal of Process Control, zv. 72, str. 39–51, 2018.

2017

  1. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Optimal Operation of Nanofilter Based Diafiltration Processes Using Experimental Permeation Models. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 21st International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 185–190, 2017.

2016

  1. M. Jelemenský – M. KlaučoR. Paulen – J. Lauwers – F. Logist – J. Van Impe – M. Fikar: Time-Optimal Control and Parameter Estimation of Diafiltration Processes in the Presence of Membrane Fouling. V 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems, zv. 11, str. 242–247, 2016.
  2. M. Jelemenský – D. Pakšiová – R. Paulen – M. A. Latifi – M. Fikar: Combined Estimation and Optimal Control of Batch Membrane Processes. Processes, č. 4, zv. 4, 2016.
  3. M. Jelemenský – A. Sharma – R. PaulenM. Fikar: Time-optimal control of diafiltration processes in the presence of membrane fouling. Computers & Chemical Engineering, zv. 91, str. 343–351, 2016.
  4. R. PaulenM. Fikar: Optimal Operation of Batch Membrane Processes, Springer, 2016.
  5. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Estimation of membrane fouling parameters for concentrating lactose using nanofiltration. Editor(i): Zdravko Kravanja, Miloš Bogataj, V 26th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Portorož, Slovenia, zv. 26, str. 151–156, 2016.
  6. A. Sharma – M. Jelemenský – R. Valo – M. KalúzM. Fikar: Process Control Education using a Laboratory Separation Process. V Preprints of the 11th IFAC Symposium on Advances in Control Education, zv. 11, str. 4–9, 2016.

2015

  1. M. Jelemenský – A. Sharma – R. PaulenM. Fikar: Time-optimal Operation of Diafiltration Processes in the Presence of Fouling. Editor(i): Krist V. Gernaey and Jakob K. Huusom and Rafiqul Gani, V 12th International Symposium on Process Systems Engineering And 25th European Symposium on Computer Aided Process Engineering, Elsevier B.V, Copenhagen, Denmark, str. 1577–1582, 2015.
  2. M. Jelemenský – A. Sharma – R. PaulenM. Fikar: Multi-Objective Optimization of Batch Dialfiltration Processes in the Presence of Membrane Fouling. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 84–89, 2015.
  3. M. KalúzM. KlaučoM. Kvasnica: Real-Time Implementation of a Reference Governor on the Arduino Microcontroller. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 350–356, 2015.
  4. M. Mendel – G. Hulkó – A. Mészáros: Control of Groundwater Remediation Process as Distributed Parameter System. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 326–331, 2015.
  5. J. Oravec – M. Bakošová: Robust Model-Based Predictive Control of Exothermic Chemical Reactor. Chemical Papers, č. 7, zv. 69, 2015.
  6. R. Paulen – M. Jelemenský – Z. Kovacs – M. Fikar: Economically optimal batch diafiltration via analytical multi-objective optimal control. Journal of Process Control, zv. 28, str. 73–82, 2015.
  7. A. Sharma – M. Fikar – M. Bakošová: Comparative study of Time Optimal Controller with PID Controller for a Continuous Stirred Tank Reactor. Acta Chimica Slovaca, č. 1, zv. 8, str. 27–33, 2015.
  8. A. Sharma – M. Jelemenský – R. PaulenM. Fikar: Modelling and Optimal Control of Membrane Process with Partial Recirculation. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 90–95, 2015.

2014

  1. M. Bakošová – J. Oravec: Robust MPC of an Unstable Chemical Reactor Using the Nominal System Optimization. Acta Chimica Slovaca, č. 2, zv. 7, str. 87–93, 2014.

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