The Tracking Controller of Complex Nonlinear Systems

被引:0
|
作者
Qu Zifang [1 ]
Du Zhenbin [2 ]
机构
[1] Shandong Inst Business & Technol, Coll Math & Informat Sci, Yantai 264005, Peoples R China
[2] Yantai Univ, Sch Comp Sci & Technol, Yantai 264005, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
fuzzy T-S model; RBF NNs; nonlinear systems; uncertainties; time delays; tracking control; H-INFINITY CONTROL; FUZZY-MODEL; DYNAMIC-SYSTEMS; CONTROL DESIGN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The output feedback control problem is considered for a class of nonlinear systems with unknown states and time delays, and under uncertainties. Fuzzy Takagi-Sugeno (T-S) models are used to approximate the nonlinear system, and RBF neural networks (NNs) act as a compensator to eliminate the approximating error and the uncertainties. The controller is designed to ensure that the closed-loop system satisfies the desired tracking performance. Simulation results demonstrate the effectiveness of the developed control scheme.
引用
收藏
页码:1773 / 1776
页数:4
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