文献类型：期刊文献

英文题名：Dynamic Event-Triggered Asynchronous Control for Nonlinear Multiagent Systems Based on T-S Fuzzy Models

作者：Chen, Mengshen[1];Yan, Huaicheng[2,3];Zhang, Hao[4];Chi, Ming[5];Li, Zhichen[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Adv Control & Opt Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]East China Jiaotong Univ, Sch Elect & Automat Engn, Nanchang 330013, Jiangxi, Peoples R China;[4]Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China;[5]Huazhong Univ Sci & Technol, Coll Artificial Intelligence & Automat, Wuhan 430074, Peoples R China

年份：2021

卷号：29

期号：9

起止页码：2580

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20213710880764);WOS:【SCI-EXPANDED(收录号:WOS:000692553900014)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61673178, Grant 61922063, and Grant 61773289; in part by the Shanghai International Science and Technology Cooperation Project under Grant 18510711100; in part by Shanghai and HongKong-Macao-Taiwan Science and Technology Cooperation Project under Grant 19510760200; in part by Shanghai Shuguang Project under Grant 18SG18; in part by the Program of Shanghai Academic Research Leader under Grant 19XD1421000; and in part by the Programme of Introducing Talents of Discipline to Universities (the 111 Project) under Grant B17017.

语种：英文

外文关键词：Nonlinear dynamical systems; Multi-agent systems; Monitoring; Symmetric matrices; Fuzzy systems; Dynamic scheduling; Linear matrix inequalities; Asynchronous premises; dynamic event-triggered mechanism (ETM); Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs)

摘要：In this article, the event-triggered asynchronous control problem of nonlinear multiagent systems is investigated based on Takagi-Sugeno fuzzy models. In order to rationally utilize network resources and elaborately avoid unnecessary continuous monitoring, an event-triggered mechanism with a new dynamic threshold parameter and a sampler are considered, respectively. Besides, an asynchronous operation method is adopted to deal with the mismatched premise variables between the fuzzy system and fuzzy controller. Based on the Lyapunov stability theory and appropriate inequality, some sufficient criteria in the form of linear matrix inequalities are obtained to ensure the stability of the closed-loop system. Finally, an illustrative example is provided to demonstrate the effectiveness and superiority of the proposed method.