DISTRIBUTED EVENT-TRIGGERED CONSENSUS CONTROL FOR NONLINEAR PURE-FEEDBACK MULTI-AGENT SYSTEMS

被引：0
|
作者：
Ji, Yuehui [1 ]
Zhou, Hailiang [2 ]
Zong, Qun [3 ]
机构：
[1] Tianjin Univ Technol, Sch Elect & Elect Engn, Tianjin Key Lab Control Theory & Applicat Complic, Tianjin, Peoples R China
[2] Tianjin Inst Metrol Supervis & Testing TIMST, Tianjin, Peoples R China
[3] Tianjin Univ, Sch Elect & Informat Engn, Tianjin, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION | 2020年 / 35卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Multi-agent systems; distributed control; event-triggered control; parametric pure-feedback system; STOCHASTIC-SYSTEMS; TRACKING CONTROL; OUTPUT; STATE; MODELS;
D O I：
10.2316/J.2020.206-0364
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The distributed consensus control in event-triggered mechanism is proposed for nonlinear pure-feedback multi-agent systems subjected to parametric uncertainty. Based on back-stepping technology, the consensus controller is investigated to guarantee that the consensus tracking errors of the closed-loop system are semi-globally ultimately bounded. For each follower, the controller and parameter estimator are executed only when the desired control specifications cannot be ensured, drastically reducing the computational burden and the transmission cost. The minimal inter-sample time is proved to be bound with a positive lower constant, consequently the Zeno phenomenon is avoided. The stability property of closed-loop system is rigorously proved by the Lyapunov theorem and impulsive dynamical systems tools. Finally, the simulation examples are introduced to validate the effectiveness of the consensus control scheme.
引用
收藏
页码：377 / 390
页数：14
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