Event-Based Consensus Tracking for Nonlinear Multi-Agent Systems Under Semi-Markov Jump Topology

IEEE Access

Wen Xing¹  Yan Shi²  Qinsheng Li³  Jiafeng Yu³  Xin Yuan⁴ 

[1] College of Automation, Harbin Engineering University, Harbin, China;Graduate School of Science and Technology, Tokai University, Tokyo, Japan;Jiangsu Maritime Institute, Nanjing, China;School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA, Australia;

关键词: Multi-agent system;    fuzzy modeling;    strict dissipativity;    event-triggering control;    semi-Markov switching topology;   

DOI  :  10.1109/ACCESS.2021.3116253

来源: DOAJ

【 摘 要 】

This paper studies the event-triggering leader-follower consensus with the strictly dissipative performance for nonlinear multi-agent systems (MASs) with semi-Markov changing topologies. First, a polynomial fuzzy model is established to describe the error nonlinear multi-agent system that is formed by one virtual leader and followers. Then, a new event-triggering transmission strategy is proposed to mitigate communication and computational load. By utilizing the event-triggering mechanism and modeling the switching topologies by semi-Markov process, an event-triggering consensus protocol based on sampled data is designed. Compared with traditional Markov jump topologies, the transition rate is time-varying for semi-Markov switching topologies. By mode-dependent Lyapunov-Krasovskii functional, the sum of square based relaxed stabilization conditions for fuzzy MASs under semi-Markov jump topologies are obtained to guarantee event-triggering consensus in an even-square sense. An illustrative example is provided to verify the proposed consensus design schemes.

【 授权许可】

Unknown