Yu, J.Li, Q.Xing, W.Yuan, X.Shi, Y.2025-07-182025-07-182021IEEE Access, 2021; 9:135868-1358782169-35362169-3536https://hdl.handle.net/2440/146139This 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.enThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/Multi-agent system; fuzzy modeling; strict dissipativity; event-triggering control; semi-Markov switching topology.Journal article10.1109/ACCESS.2021.31162532024-09-25592352Yuan, X. [0000-0001-5056-171X]