Robust Fuzzy Controller Design With Bounded Control Effort For Nonlinear Systems With Parametric Uncertainties

被引：0

作者：

Hoseini, S. A. ^{[1
]}

Labibi, B. ^{[1
]}

机构：

[1] KN Toosi Univ Technol, Tehran, Iran

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2 | 2009年

关键词：

H-INFINITY CONTROL; STABILITY;

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：

This paper addresses a robust fuzzy controller design for nonlinear systems with parametric uncertainties with consideration of the control effort. A Takagi-Sugeno (T-S) fuzzy model is used for fuzzy modeling of a nonlinear system. Sufficient conditions are derived not only for robust stabilization of the nonlinear system in the sense of Lyapunov asymptotic stability but also for setting a bound on the control input signal. The T-S fuzzy model of the chaotic Lorenz system which has complex nonlinearity is considered as a system to illustrate the effectiveness of the proposed method through a numerical simulation.

引用

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页码：112 / 117

页数：6

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