Premium
Robust consensus tracking for a class of high‐order multi‐agent systems
Author(s) -
Sun Chao,
Hu Guoqiang,
Xie Lihua
Publication year - 2015
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3326
Subject(s) - control theory (sociology) , multi agent system , consensus , tracking (education) , bounded function , trajectory , computer science , robust control , robustness (evolution) , class (philosophy) , consensus algorithm , lyapunov function , controller (irrigation) , mathematics , mathematical optimization , control (management) , control system , algorithm , engineering , artificial intelligence , nonlinear system , pedagogy , mathematical analysis , chemistry , biology , psychology , biochemistry , quantum mechanics , agronomy , physics , astronomy , electrical engineering , gene
Summary 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 © 2015 John Wiley & Sons, Ltd.