Robust consensus tracking for a class of high-order multi-agent systems

被引：43

作者：

Sun, Chao ^{[1
]}

Hu, Guoqiang ^{[1
]}

Xie, Lihua ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL | 2016年 / 26卷 / 03期

关键词：

robust consensus tracking; multi-agent systems; identifier design; cooperative control; Lyapunov methods; FINITE-TIME CONSENSUS; ADAPTIVE-CONTROL; LEADER; AGENTS; COORDINATION;

D O I：

10.1002/rnc.3326

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we study the robust consensus tracking problem for a class of high-order multi-agent systems with unmodelled dynamics and unknown disturbances. A continuous robust state feedback control algorithm is proposed to enable the agents to achieve robust consensus tracking of a desired trajectory. By utilizing Lyapunov analysis methods and an invariance-like theorem, sufficient conditions for semi-global asymptotic consensus tracking are established. A robust output feedback control algorithm is designed to obtain a uniformly ultimately bounded consensus tracking result. Numerical simulations are provided to show the effectiveness of the proposed algorithms. Copyright (C) 2015 John Wiley & Sons, Ltd.

引用

页码：578 / 598

页数：21

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