BEGIN:VCALENDAR
VERSION:2.0
PRODID:OpenCms 21.0.11
BEGIN:VTIMEZONE
TZID:Europe/Berlin
X-LIC-LOCATION:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
END:STANDARD
END:VTIMEZONE				
BEGIN:VEVENT
DTSTAMP:20250114T132413
UID:7731ecd7-d272-11ef-bb30-000e0c3db68b
SUMMARY:Talk of Prof. Maurice Heemels 
DESCRIPTION:Abstract\nModel predictive control (MPC) is one of the most successful and widely adopted control\ntechniques. Extensive research continues to focus on MPC, particularly in two areas: (i) managing\nonline computational complexity for large-scale systems and (ii) exploring data-driven MPC\napproaches. In this talk, we present new results in these areas.\nFor linear systems constrained by many state constraints, we introduce a novel online\nconstraint-removal framework called constraint-adaptive MPC (ca-MPC). In ca-MPC, the imposed\nconstraints are dynamically adjusted by removing a subset of state constraints at each time step.\nThis reduces the computational complexity of the receding-horizon optimal control problem while\nensuring that the closed-loop behavior remains identical to that of the original MPC law. We\ndemonstrate the capabilities of ca-MPC through its application to hyperthermia cancer\ntreatments.\nAdditionally, we present a predictive control scheme that operates directly on measured\nfrequency-domain data of the plant, eliminating the need for parametric (state-space) prediction\nmodels. This new frequency-domain data-driven predictive control (FreePC) scheme is developed using\na novel version of Willems’ fundamental lemma, specifically tailored for frequency-domain data. We\ncompare the FreePC approach with the increasingly popular DeePC framework.\nFinally, if time permits, we will discuss various MPC solutions for applications in automated\ndriving, quadcopter tracking control, and nuclear fusion, alongside hyperthermia cancer\ntreatments.  \nBiographical Information\nMaurice Heemels received M.Sc. (mathematics) and Ph.D. (control theory) degrees (summa cum\nlaude) from the Eindhoven University of Technology (TU/e) in 1995 and 1999, respectively. From 2000\nto 2004, he was with the Electrical Engineering Department, TU/e, as an assistant professor, and\nfrom 2004 to 2006 with the Embedded Systems Institute (TNO-ESI) as a research fellow. Since 2006,\nhe has been with the Department of Mechanical Engineering, TU/e, where he is currently a Full\nProfessor and Vice-Dean. Maurice held visiting professor positions at Swiss Federal Institute of\nTechnology (ETH), Switzerland (2001), University of California at Santa Barbara (2008) and\nUniversity of Lorraine, France (2020). His current research includes hybrid and cyber-physical\nsystems, networked and event-triggered control systems and model predictive control. Dr. Heemels\nserved/s on the editorial boards of Automatica, Nonlinear Analysis: Hybrid Systems, Annual\nReviews in Control, and IEEE Transactions on Automatic Control. He was a recipient of a personal\nVICI grant awarded by NWO (Dutch Research Council) and an ERC Advanced Grant (European Research\nCouncil). He is a Fellow of the IEEE and IFAC. He was the recipient of the 2019 IEEE L-CSS\nOutstanding Paper Award and the 2020 Automatica Paper Prize Award. He was in the IEEE-CSS Board of\nGovernors (2021-2023) and the chair of the IFAC Technical Committee on Networked Systems\n(2017-2023). He is the Editor-in-Chief of the IFAC journal Nonlinear Analysis: Hybrid Systems\nsince 2023. \n  
DTSTART;TZID=Europe/Berlin:20250121T160000
DTEND;TZID=Europe/Berlin:19700101T010000
LOCATION:Institute for Systems Theory and Automatic Control, , Seminar room 2.255, Pfaffenwaldring 9, 70569  Stuttgart, Campus Vaihingen 
URL;VALUE=URI:https://www.ist.uni-stuttgart.de/events/Talk-of-Prof.-Maurice-Heemels/
END:VEVENT
END:VCALENDAR