Observed-Based Adaptive Fuzzy Tracking Control for Switched Nonlinear Systems With Dead-Zone

被引:178
|
作者
Tong, Shaocheng [1 ]
Sui, Shuai [1 ]
Li, Yongming [1 ]
机构
[1] Liaoning Univ Technol, Dept Basic Math, Jinzhou 121001, Peoples R China
基金
中国国家自然科学基金;
关键词
Average dwell time; backstepping technique; fuzzy adaptive control; fuzzy logic systems; switched nonlinear systems; OUTPUT-FEEDBACK CONTROL; NEURAL-CONTROL; BACKSTEPPING CONTROL; DESIGN; TELEOPERATORS; STABILIZATION;
D O I
10.1109/TCYB.2014.2386912
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, the problem of adaptive fuzzy output-feedback control is investigated for a class of uncertain switched nonlinear systems in strict-feedback form. The considered switched systems contain unknown nonlinearities, dead-zone, and immeasurable states. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, a switched fuzzy state observer is designed and thus the immeasurable states are obtained by it. By applying the adaptive backstepping design principle and the average dwell time method, an adaptive fuzzy output-feedback tracking control approach is developed. It is proved that the proposed control approach can guarantee that all the variables in the closed-loop system are bounded under a class of switching signals with average dwell time, and also that the system output can track a given reference signal as closely as possible. The simulation results are given to check the effectiveness of the proposed approach.
引用
收藏
页码:2816 / 2826
页数:11
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