We invite the PhD students to the summer school on "Optimization-based Control Systems: Theory & Applications" organized by the Horizon Europe project FrontSeat on September 9-13, 2024 in Pisa, Italy. The 5-day summer school will include lectures by renowned speakers, hands-on practical sessions, and a social program. The event is organized by the University of Pisa. There are no registration fees. The registration form and current information are available on the event page here.

- State-of-the-art approaches to the formulation and solution of optimal control problems
- Basis of numerical optimization
- Model predictive control design
- Data-driven modeling techniques of traditional and machine-learning methods

Prof. Moritz Diehl (University of Freiburg, Germany)
Prof. Gabriele Pannocchia (University of Pisa, Italy)
Prof. Martin Mönnigmann (Ruhr University Bochum, Germany)
Dr. Marco Vaccari (University of Pisa, Italy)
Dr. Riccardo Bacci di Capaci (University of Pisa, Italy)
Dr. Karol Kiš (Slovak University of Technology in Bratislava, Slovakia)

FrontSeat Summer School on "Optimization-based Control Systems: Theory & Applications" aims to provide the participants with theoretical background and hands-on knowledge of advanced methods and tools for optimization-based control systems. The course will cover selected state-of-the-art approaches to the formulation and practical solution of optimal control problems, including numerical optimization as a basis, design of model predictive controllers, moving horizon estimation methods, as well as data-driven modeling techniques with traditional system identification approaches and machine learning methods. All lecture topics will be accompanied by dedicated workshops with computer exercises. Participants will then work on an application problem (self-chosen or assigned) by exploiting the various methods and algorithms discussed. By the end of the course, they will present the obtained results.

Responsibility for content: doc. Ing. Juraj Oravec, PhD.
Last update: 16.04.2024 14:28
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