Communication Dans Un Congrès Année : 2020

Fuzzy-based Dissipative Consensus for Multi-Agent Systems with Markov Switching Topologies

Résumé

In this paper, the dissipativity-based consensus problem for polynomial fuzzy multi-agent systems is considered. First, a novel fuzzy modeling method is proposed to describe the error dynamics. By establishing the changing topologies by Markov process, a new consensus protocols are designed. By polynomial Lyapunov function and sum of squares, sufficient condition is given to assure even-square consensus with dissipative performance. Finally, an illustrative example is employed to verify the proposed dissipativity-based even-square consensus design schemes.

Dates et versions

hal-03271839 , version 1 (27-06-2021)

Identifiants

Citer

Jiafeng Yu, Peng Shi, Qinsheng Li, Wen Xing, Mohammed Chadli, et al.. Fuzzy-based Dissipative Consensus for Multi-Agent Systems with Markov Switching Topologies. 21st IFAC World Congress 2020, Jul 2020, Berlin, Germany. pp.4127--4131, ⟨10.1016/j.ifacol.2020.12.2446⟩. ⟨hal-03271839⟩
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