Distributed adaptive consensus tracking for uncertain high‐order nonlinear multiagent systems with event‐triggered communication. (2nd July 2020)

• Record Type: Journal Article
• Authors: Long, Jiang; Wang, Wei; Huang, Jiangshuai; Fan, Huijin
• Other Names: Yuan Shuai guestEditor.; Wan Yimin guestEditor.; Zhang Lixian guestEditor.; Baldi Simone guestEditor.
• Is Part Of: Optimal control applications and methods. Volume 41:Number 6(2020)
• Page Start: 2077
• Page End: 2093
• Publication Date: 2020-07-02
• Subjects: distributed adaptive control -- event‐triggered communication -- output consensus tracking -- uncertain nonlinear systems; Control theory -- Periodicals; Mathematical optimization -- Periodicals; 629.8312
• DOI: 10.1002/oca.2620
• Languages: English
• ISSNs: 0143-2087

Abstract

Summary: This article investigates the distributed adaptive consensus tracking control problem for a class of high‐order nonlinear multiagent systems with unmodeled system dynamics, uncertain external disturbances, and event‐triggered communication. Under an undirected graph condition, a robust distributed adaptive consensus control scheme is proposed. To deal with the lumped system uncertainties involved in each agent, adaptive compensation techniques are adopted. Moreover, by designing a triggering condition for each agent, which only relies on individual states' changing rates, continuous monitoring of neighboring states can be avoided. It is shown that with the proposed control scheme, all the closed‐loop signals are globally uniformly bounded and all the agents' outputs can track the desired trajectory with adjustable tracking errors. Meanwhile, Zeno behavior is excluded in each agent.