文献类型：期刊文献

英文题名：Adaptive Consensus Control of Linear Multiagent Systems With Dynamic Event-Triggered Strategies

作者：He, Wangli[1];Xu, Bin[1];Han, Qing-Long[2];Qian, Feng[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Swinburne Univ Technol, Sch Software & Elect Engn, Melbourne, Vic 3122, Australia

年份：2020

卷号：50

期号：7

起止页码：2996

外文期刊名：IEEE TRANSACTIONS ON CYBERNETICS

收录：;EI(收录号：20202608879907);WOS:【SCI-EXPANDED(收录号:WOS:000544035300010)】；

基金：This work was supported in part by the National Key Research and Development Program of China under Grant 2016YFB0303401, in part by the National Natural Science Foundation of China under Grant 61773163, in part by the Young Elite Scientists Sponsorship Program by CAST under Grant 2016QNRC001, in part by the Natural Science Foundation of Shanghai under Grant 17ZR1444600, in part by the Shanghai Rising-Star Program under Grant 18QA1401400, in part by the Fundamental Research Funds for the Central Universities under Grant 222201917006 and Grant 50321081916019, in part by the 111 Project under Grant B17017, and in part by the Australian Research Council Discovery Project under Grant DP160103567. This paper was recommended by Associate Editor H. Gao.

语种：英文

外文关键词：Multi-agent systems; Vehicle dynamics; Adaptive control; Measurement errors; Symmetric matrices; Protocols; Nonlinear dynamical systems; Adaptive control; consensus; dynamic event-triggered strategy; multiagent systems (MASs)

摘要：This paper is concerned with event-triggered consensus of general linear multiagent systems (MASs) in leaderless and leader-following networks, respectively, in the framework of adaptive control. A distributed dynamic event-triggered strategy is first proposed, in which an auxiliary parameter is introduced for each agent to regulate its threshold dynamically. The time-varying threshold ensures less triggering instants, compared with the traditional static one. Then under the proposed event-triggered strategy, a distributed adaptive consensus protocol is formed including the updating law of the coupling strength for each agent. Some criteria are derived to guarantee leaderless or leader-following consensus for MASs with general linear dynamics, respectively. Moreover, it is proved that the triggering time sequences do not exhibit Zeno behavior. Finally, the effectiveness of the proposed dynamic event-triggered control mechanism combined with adaptive control is validated by two examples.