Robust decentralized direct adaptive output feedback fuzzy control for a class of large-sale nonaffine nonlinear systems

被引:51
作者
Huang, Yi-Shao [1 ,2 ]
Wu, Min [1 ]
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
[2] Changsha Univ Sci & Technol, Sch Traff & Transportat Engn, Changsha 410114, Hunan, Peoples R China
基金
中国博士后科学基金;
关键词
Large-scale systems; Nonaffine nonlinear; Fuzzy control; Observer; Robust; Decentralized control; Strictly positive-real (SPR); SLIDING MODE CONTROLLER; CHAOS SYNCHRONIZATION; TRACKING CONTROL; NEURAL CONTROL; DESIGN; STABILIZATION; OBSERVER; GYROS;
D O I
10.1016/j.ins.2010.11.034
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 the previous work of Huang et al., a decentralized direct adaptive fuzzy H-infinity tracking controller of large-scale nonaffine nonlinear systems is obtained predicated upon the assumption that the mismatching error dynamics stay squared integrable. In this note, we focus in the absence of the conservative assumption upon developing a robust decentralized direct adaptive output feedback fuzzy controller. By combination of a state observer, a fuzzy inference system and robust control technique, the previous controller design is modified and no a priori knowledge of bounds on lumped uncertainties is required. All the signals of the closed-loop large-scale system are proved to be uniformly ultimately bounded. The effectiveness of the developed scheme is demonstrated through the simulation results of interconnected inverted pendulums. (C) 2010 Elsevier Inc. All rights reserved.
引用
收藏
页码:2392 / 2404
页数:13
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