91社区

Informal Systems Seminar (ISS), Centre for Intelligent Machines (CIM) and Groupe d'Etudes et de Recherche en Analyse des Decisions (GERAD)

Speaker: Weijian Li

**听狈辞迟别听迟丑补迟听迟丑颈蝉听颈蝉听补听丑测产谤颈诲听别惫别苍迟.
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惭别别迟颈苍驳听滨顿:听845听1388听1004听听听听听听听
笔补蝉蝉肠辞诲别:听痴滨厂厂

Abstract: In this talk, we consider seeking (generalized) Nash equilibrium (GNE) over networks for noncooperative games. We reveal the convergence of a typical gradient-play dynamics for GNE seeking from a passivity-based perspective, and then, propose two novel dynamics by passivity-based modification on the gradient-play scheme with convergence guarantees in merely monotone regimes. Following that, resorting to passivity, we develop a unifying framework 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 assumptions, we design control laws such that outputs of agents to reach the Nash equilibrium of the game.

Bio: 聽Weijian Li is a postdoctoral fellow in the Department of Electrical and Computer Engineering at University of Toronto. He received his PhD degree in operations research and cybernetics from 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.