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

来源：

2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年

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

页码：1773 / 1776

页数：4

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