Quadratically stable fuzzy control for a class of uncertain nonlinear systems

被引：0

作者：

Du Zhenbin ^{[1
]}

Qu Zifang ^{[1
]}

Ren Junyi ^{[1
]}

机构：

[1] Yantai Univ, Sch Comp Sci & Technol, Yantai 264005, Peoples R China

来源：

PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 2 | 2007年

关键词：

fuzzy T-S model; adaptive fuzzy logic systems; nonlinear systems; quadratically stable;

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：

Combining fuzzy T-S model with adaptive fuzzy logic systems, this paper presents a quadratically stable control scheme for a class of uncertain nonlinear systems. Firstly, the fuzzy T-S model is used to model the nonlinear systems. Secondly, the effect of the modeling errors a and the modeling errors and the uncertain nonlinear parts are eliminated by a compensator based on the adaptive fuzzy logic systems. The control scheme guarantees the quadratic stability of the closed loop system and the L-2 norm bound. The simulation results demonstrate that the control scheme is effective.

引用

页码：241 / +

页数：2

共 7 条

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