Fuzzy Energy-to-Peak Control for Nonlinear Markovian Jump Systems

被引：0

作者：

Shen, Hao ^{[1
]}

Wang, Jing ^{[1
]}

Zhang, Handong ^{[1
]}

Zhou, Jianping ^{[2
]}

机构：

[1] Anhui Univ Technol, Sch Elect Engn & Informat, Maanshan 243002, Peoples R China

[2] Anhui Univ Technol, Sch Comp Sci, Maanshan 243002, Peoples R China

来源：

PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年

基金：

中国国家自然科学基金;

关键词：

Fuzzy energy-to-peak control; nonlinear Markovian jump systems; augmented Lyapunov functional method; retarded feedback; H-INFINITY CONTROL; TIME-VARYING DELAYS; ROBUST STABILIZATION; FILTER DESIGN; NEURAL-NETWORKS;

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 deals with the problem of the energy to-peak control for nonlinear Markovian jump systems via Takagi-Sugeno fuzzy model approach. Our purpose is to design retarded feedback controller such that the resulting closed-loop system is stochastically stable with a prescribed energy-to-peak performance By using a novel augmented Lyapunov functional method and the IAN relaxation technique, a sufficient condition is proposed for the solvability of the energy-to-peak control problem.

引用

页码：1518 / 1523

页数：6

共 22 条

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