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SUMMARY:Towards data-driven control of general nonlinear systems with stab
 ility and performance guarantees
DTSTART:20231027T090000
DTEND:20231027T100000
DTSTAMP:20260407T195411Z
UID:6506415a98c1e97b6d3eb9056825f4230fd41556fcca67ef611ec4fa
CATEGORIES:Conferences - Seminars
DESCRIPTION:ir. C. Verhoek\n\n\n\n\n\nWhile in recent years\, learning-bas
 ed and data-driven methods have shown rapid progress in effective utilizat
 ion of data for control tasks\, the focus has mainly be on the analysis an
 d control of linear time-invariant (LTI) systems or rather restricted form
 s of nonlinear systems. In this talk\, I will present a direct data-driven
  control paradigm for a rather wide class of nonlinear systems. To establi
 sh this\, we first take an intermediate step via linear parameter-varying 
 (LPV) surrogates of nonlinear systems. The first part of the talk will go 
 over the data-driven tools that we have developed for LPV systems\, such a
 s the LPV Fundamental Lemma\, dissipativity analysis\, predictive control 
 and state-feedback control. In the second part of the we propose a data-dr
 iven control scheme for a wide class of  nonlinear systems by combining t
 he LPV data-driven tools with velocity-based control of nonlinear systems 
 (that is linked to paradigms such as universal shifted stability). A key i
 ngredient of the method is a data-driven representation of the velocity-fo
 rm (the time-difference dynamics) of the nonlinear system\, which admits a
  direct LPV representation\, that can be used for direct data-driven contr
 ol. By using a realization approach\, the synthesized data-driven LPV cont
 roller for the velocity-form is realized for the original nonlinear system
  as a nonlinear controller\, which guarantees universal shifted stability 
 and dissipativity of the closed-loop. In addition to the theoretical resul
 ts\, I will also present successful applications of the proposed framework
  in simulation studies and real-world experiments.\n \n\n\n\n\n\n\nBio:\n
 \n\n\n\nChris Verhoek received his B.Sc. degree in Mechatronics from the A
 vans University of Applied Sciences and his M.Sc. degree in Systems and Co
 ntrol (Cum Laude) from the Eindhoven University of Technology\, in 2017 an
 d 2020 respectively. His M.Sc. thesis was selected as the best MSc thesis 
 of the Electrical Engineering department in the year 2020. He is currently
  pursuing a Ph.D. degree under the supervision of Roland Tóth and Sofie H
 aesaert at the Control Systems group\, Dept. of Electrical Engineering\, E
 indhoven University of Technology. His main research interests include (da
 ta-driven) analysis and control of nonlinear and LPV systems and learning-
 for-control techniques with stability and performance guarantees. Next to 
 professional work\, he really enjoys hiking\, playing the drums (jazz) and
  swimming.\n\n\n\n\n\n\n\n\n\n\n\n\n
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
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