Robust consensus tracking for a class of high‐order multi‐agent systems | Zendy

Sun Chao | Zendy; Hu Guoqiang | Zendy; Xie Lihua | Zendy

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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.

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