Model-Free Event-Triggered Containment Control of Multi-Agent Systems

被引：0

作者：

Yang, Yongliang ^{[1
]}

Modares, Hamidreza ^{[2
]}

Vamvoudakis, Kyriakos G. ^{[3
]}

Yin, Yixin ^{[1
]}

Wunsch, Donald C., II ^{[2
]}

机构：

[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China

[2] Missouri Univ Sci & Technol, Dept Elect & Comp Engn, Rolla, MO 65409 USA

[3] Virginia Tech, Kevin T Crofton Dept Aerosp & Ocean Engn, Blacksburg, VA 24061 USA

来源：

2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC) | 2018年

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

Multi-agent systems; containment control; event-triggered; off-policy reinforcement learning; actor-critic; CONTINUOUS-TIME SYSTEMS; OUTPUT SYNCHRONIZATION; TRACKING CONTROL; ALGORITHMS; CONSENSUS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a model-free distributed event-triggered containment control scheme for linear multi agent systems. The proposed event-triggered scheme guarantees asymptotic stability of the equilibrium point of the containment error as well the avoidance of the Zeno behavior. To relax the requirement of complete knowledge of the dynamics, we combine an off-policy reinforcement learning algorithm in an actor critic structure with the event-trigger control mechanism to obtain the feedback gain of the distributed containment control protocol. A simulation experiment is conducted to verify the effectiveness of the approach.

引用

页码：877 / 884

页数：8

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