Fuzzy-based Dissipative Consensus for Multi-Agent Systems with Markov Switching Topologies. Issue 2 (2020)

• Record Type: Journal Article
• Authors: Yu, Jiafeng; Shi, Peng; Li, Qinsheng; Xing, Wen; Chadli, Mohammed; Dimirovski, Georgi M.
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 2(2020)
• Page Start: 4127
• Page End: 4131
• Publication Date: 2020
• Subjects: Fuzzy system -- dissipativity -- multi-agent system -- switching topology -- Markov process; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.12.2446
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: 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.