Adaptive fuzzy decentralized control for a class of interconnected nonlinear system with unmodeled dynamics and dead zones

NEUROCOMPUTING

卷:214

Article

Wang, Huanqing^1,2  Liu, Wenxin¹  Liu, Peter Xiaoping²  Lam, H. K.³ 

[1] Bohai Univ, Sch Math & Phys, Jinzhou 121000, Liaoning, Peoples R China

[2] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S, Canada

[3] Kings Coll London, Dept Informat, London WC2R 2LS, England

关键词: Adaptive fuzzy control;    Nonlinear systems;    Unmodeled dynamics;    Backstepping;   

DOI  :  10.1016/j.neucom.2016.07.019

来源: Elsevier

【 摘 要 】

In this paper, an adaptive decentralized fuzzy control scheme is presented for a class of multiple-input and multiple-output (MIMO) nonlinear interconnected systems with unmodeled dynamics and dead zones. In the controller design procedure, fuzzy logic systems are used to approximate the unknown nonlinear functions and then an adaptive fuzzy controller is developed by combining adaptive technique with backstepping. The proposed control scheme can guarantee that all signals in the closed-loop system are semi-globally uniformly ultimately bounded in mean square. Simulation results are provided to illustrate the effectiveness of the proposed scheme. (C) 2016 Elsevier B.V. All rights reserved.

【 授权许可】

Free