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

被引:42
|
作者
Sun, Chao [1 ]
Hu, Guoqiang [1 ]
Xie, Lihua [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
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
收藏
页码:578 / 598
页数:21
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