State Feedback Fuzzy-Model-Based Control for Discrete-time Markovian Jump Nonlinear Systems with Time-Varying Delays

被引：2

作者：

Song, Min Kook ^{[1
]}

Park, Jin Bae ^{[1
]}

Joo, Young Hoon ^{[2
]}

Kim, Jin Kyu ^{[2
]}

机构：

[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul 120749, South Korea

[2] Kunsan Natl Univ, Sch Elect & Informat Engn, Kunsan, South Korea

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3 | 2009年

关键词：

Linear matrix inequality (LMI); Markovian jump nonlinear sytems (MJLNS); stochastic stability; time-varying delays; TAKAGI-SUGENOS FORM; STABILIZATION CONDITIONS; ROBUST STABILIZATION; STABILITY ANALYSIS; NETWORKED CONTROL;

D O I：

10.1109/FUZZY.2009.5277162

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the stability analysis and stabilization problem for a discrete-time Markovian jump nonlinear systems (MJLNS) with time-varying delays are investigated. The time-delay is considered to be time-varying and has a upper bound. The transition probabilities of the mode jumps are considered to be completely known. Sufficient conditions for stochastic stability of the markovian jump fuzzy systems (MJES) are derived via the linear matrix inequality (LMI) formulation, and the design of the stabilizing controller is further given. A numerical example is used to illustrate the developed. theory.

引用

页码：2105 / +

页数：2

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