IEEE SMC ACT Chapter Seminar 1 2018
Seminar given by Prof Tao Li
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Tao Li of School of Mathematical Sciences, East China Normal University
Cooperation of linear systems over uncertain multi-agent networks
We develop cooperation of linear systems with uncertain communication factors. For cooperative stabilization of linear systems with partially measurable states and finite data rate, quantized-observer based communication protocols and Certainty Equivalence principle based control protocols are proposed to characterize the inter-agent communication and cooperative control in an integrative framework. Small capacity theorems are developed for distributed averaging and the case with second-order dynamics. For the case with additive noises, some necessary conditions and sufficient conditions are given for the stochastic approximation type algorithm to ensure mean square and almost sure consensus. For the case with multiplicative noises, stability for stochastic differential equations driven by multiplicative noises is examined. Explicit sufficient conditions are deduced for mean square and almost sure consentability.
Biography:
Tao Li is a Professor and Director of the Department of Intelligent Mathematical Sciences, School of Mathematical Sciences, ECNU, Shanghai, China. His research interests include stochastic systems, cyber-physical multi-agent systems and game theory. He received 28th Zhang Siying Outstanding Youth Paper Award, the Best Paper Award of 7th Asian Control Conference, and honourable mentioned as one of five finalists for Young Author Prize of the 17th IFAC Congress. He received 2009 Singapore Millennium Foundation Research Fellowship and 2010 Australian Endeavour Research Fellowship. He received the Excellent Young Scholar Fund from NSFC in 2015 and was elected to the Chang Jiang Scholars Program, Ministry of Education, China in 2018. He now serves as an Associate Editor of SCIENCE CHINA Information Sciences. He is a member of IFAC TC 1.5 on Networked Systems.
Address:Shanghai, China