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X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-0f29370d9da664c1e143182f37301063@cmc.deusto.eus
DTSTART:20220404T090000Z
DTEND:20220404T100000Z
DTSTAMP:20220401T102900Z
CREATED:20220401
LAST-MODIFIED:20220720
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:CCM double-seminar: “The RBM-MPC Strategy for linear-quadratic optimal control” and “Controllability of transport network systems by the regular linear systems approach”
DESCRIPTION:Next Monday April 4, our team members at DeustoCCM, Alexandra Borkowski with an Internship for her MsC. in Computational and Applied Mathematics and Yassine El gantouh Postdoctoral Reseacher from UAM, will be talking in a double session as part of the CCM – Chair of Computational Mathematics seminars, about:\n11:00H “The RBM-MPC Strategy for linear-quadratic optimal control”\nBy Alexandra Borkowski\nAbstract. This talk introduces the MPC-RBM Strategy for Optimal Control Problems, which combines Model Predictive Control (MPC) and the Random Batch Method (RBM). This strategy repetitively predicts an optimal control for reduced dynamics and subsequently applies it to the original dynamics. In this context, the question arises whether this strategy is stabilizing and to what extent the MPC-RBM strategy approximates the true Optimal Control of the given Optimal Control Problem.\nTo facilitate this analysis, we consider linear dynamical systems with quadratic cost functions, so-called LQR-Problems, whose analytical solutions are given in a feedback form based on solutions to the Matrix Riccati Equations.\nWe derive Stability and Convergence Results for the MPC-RBM Strategy applied to these LQR-Problems and illustrate its application in a numerical example.\n11:30H “Controllability of transport network systems by the regular linear systems approach”\nBy Yassine El gantouh\nAbstract. In this talk, we study the controllability properties of a class of transport processes on metric graphs subjected to time-invariant transmission conditions. Based on the feedback theory of infinite-dimensional linear systems, we introduce a necessary and sufficient condition for the boundary approximate controllability of such systems. Starting from this condition, we characterize approximate controllability in terms of an algebraic property of the system coefficients, which reduces to the usual Kalman controllability criterion in the case of a simple transport process. In addition, we present a new algebraic controllability condition in terms of the generic rank of the so-called extended controllability matrix associated with the transport network system.\n
URL:https://cmc.deusto.eus/events-calendar/ccm-double-seminar-the-rbm-mpc-strategy-for-linear-quadratic-optimal-control-and-controllability-of-transport-network-systems-by-the-regular-linear-systems-approach/
ORGANIZER;CN=DeustoCCM - Chair of Computational Mathematics:MAILTO:
CATEGORIES:Events Calendar,Events Calendar Past
LOCATION:Unibertsitate Etorb., 24, 48007 Bilbao, Bizkaia
ATTACH;FMTTYPE=image/png:https://cmc.deusto.eus/wp-content/uploads/DeustoCCMseminar-aBorkowskiy_Elgantouh-04abr2022.png
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