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UID:20260617T082707EDT-8276LFId83@132.216.98.100
DTSTAMP:20260617T122707Z
DESCRIPTION:Informal Systems Seminar (ISS)\, Centre for Intelligent Machine
 s (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decisions (GERA
 D)\n\nSpeaker: Weijian Li\n	\n	** Note that this is a hybrid event.\n	** This
  seminar will be projected at McConnell 437 at 91Ë¿¹ÏÊÓƵ University.\n	\n	Zoom 
 Link\n	Meeting ID: 845 1388 1004       \n	Passcode: VISS\n	\n	Abstract: In thi
 s talk\, we consider seeking (generalized) Nash equilibrium (GNE) over net
 works for noncooperative games. We reveal the convergence of a typical gra
 dient-play dynamics for GNE seeking from a passivity-based perspective\, a
 nd then\, propose two novel dynamics by passivity-based modification on th
 e gradient-play scheme with convergence guarantees in merely monotone regi
 mes. Following that\, resorting to passivity\, we develop a unifying frame
 work to generalize the gradient-play dynamics. In addition\, we consider a
  noncooperative game problem played by nonlinear agents with uncertainty. 
 We establish a two-layer framework and systematically convert this problem
  into a distributed output regulation problem. Under some standard assumpt
 ions\, we design control laws such that outputs of agents to reach the Nas
 h equilibrium of the game.\n	\n	Bio:  Weijian Li is a postdoctoral fellow in
  the Department of Electrical and Computer Engineering at University of To
 ronto. He received his PhD degree in operations research and cybernetics f
 rom the University of Science and Technology of China in Nov. 2021. He was
  also a joint PhD student with the Key Laboratory of Systems and Control\,
  Academy of Mathematics and Systems Science\, Chinese Academy of Sciences.
  His research interests include game theory\, distributed optimization and
  network control.\n
DTSTART:20240614T143000Z
DTEND:20240614T153000Z
LOCATION:Zames Seminar Room\, MC 437\, McConnell Engineering Building\, CA\
 , QC\, Montreal\, H3A 0E9\, 3480 rue University
SUMMARY:Distributed Nash Equilibrium Seeking over Networks
URL:/cim/channels/event/distributed-nash-equilibrium-s
 eeking-over-networks-357637
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