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SUMMARY:A Frequency-Domain Approach for Data-Driven Control of Nonlinear S
 ystems with Global Guarantees
DTSTART:20230421T110000
DTEND:20230421T120000
DTSTAMP:20260407T025627Z
UID:8fa069372b4ea8970cc634994eedf12f30ba9cc2e59510240d6dfeb9
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Roland Toth\, Eindhoven University of Technology\, The N
 etherlands\nAbstract: Originally\, the linear parameter-varying (LPV) fra
 mework has been introduced with the intention to systematically design ga
 in-scheduled controllers for nonlinear systems based on local data. Howeve
 r\, local representations of the nonlinear system were not sufficient to 
 guarantee stability and performance for arbitrary scheduling variations\, 
 which has led to the introduction of more complicated global LPV embeddin
 g based control design. In this talk\, we show that the underlying difficu
 lties can be overcome by new advances of nonlinear control theory in t
 erms of the so-called velocity form of the nonlinear system and the conne
 cted notions of universal shifted stability and dissipativity. Based on th
 is insight\, we present a data-based control design method for nonlinear 
 systems\, based on local frequency-domain data\, with equilibrium indepen
 dent stability and performance guarantees. To this end\, we show how frequ
 ency response functions (FRFs) of the velocity form of a nonlinear system 
 can be identified using local or time-varying observations. Using these FR
 Fs\, a data-driven controller synthesis concept is presented to design an 
 LPV controller in the velocity domain. By accomplishing a realization ste
 p\, a nonlinear controller is computed from the LPV design that ensures eq
 uilibrium independent stability and performance of the closed-loop system
 . The effectiveness of the proposed method is demonstrated on a simulation
  example.\n\nBio: Roland Toth received his Ph.D. degree with Cum Laude d
 istinction at the Delft Center for Systems and Control (DCSC)\, Delft Univ
 ersity of Technology (TUDelft) in 2008.  He was a Post-Doctoral Research 
 Fellow at TUDelft in 2009 and at the Berkeley Center for Control and Ident
 ification\, University of California\, Berkeley in 2010. He held a positio
 n at DCSC\, TUDelft in 2011-12\, then he joined to the Control Systems (CS
 ) Group at the Eindhoven University of Technology (TU/e). Currently\, he i
 s an Associate Professor at the CS Group\, TU/e and a senior researcher at
   the Systems and Control Laboratory\, Institute for Computer Science and
  Control (SZTAKI) in Budapest\, Hungary. He is an Associate Editor of the 
 IEEE Transactions on Control Systems Technology and he was the general cha
 ir of the 3rd IFAC Workshop on Linear Parameter-Varying Systems in 2019.\n
 His research interests are in identification and control of linear paramet
 er-varying (LPV) and nonlinear systems\, developing machine learning metho
 ds with performance and stability guarantees for modeling and control\, mo
 del predictive control and behavioral system theory. On the application si
 de\, his research focuses on advancing reliability and performance of prec
 ision mechatronics and autonomous robots/vehicles with LPV and learning-ba
 sed motion control.  \nDr. Toth received the TUDelft Young Researcher Fel
 lowship Award in 2010\, the VENI award of The Netherlands Organisation for
  Scientific Research in 2011 and the Starting Grant of the European Resear
 ch Council in 2016. He and his research team has participated in several i
 nternational (FP7\, IT2-ESCEL\, etc.) and national collaborative research 
 projects. \n 
LOCATION:ME C2 405
STATUS:CONFIRMED
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