Delay-Dependent Robust Stability of Stochastic Uncertain Systems with Time Delay and Markovian Jump Parameters

被引：0
|
作者：
Dong Yue
Jian’an Fang
Sangchul Won
机构：
[1] Department of Control Science and Engineering,
[2] Nanjing Normal University,undefined
[3] Bancang Street,undefined
[4] No. 78,undefined
[5] 210042,undefined
[6] Nanjing,undefined
[7] Jiangsu,undefined
[8] College of Information Science and Technology,undefined
[9] Donghua University,undefined
[10] Shanghai,undefined
[11] Steel Processing Automation Research Center (SPARC),undefined
[12] Pohang University of Science and Technology,undefined
[13] SAN 31,undefined
[14] HYOJA-DONG,undefined
[15] NAM-GU,undefined
[16] Pohang 790-784,undefined
来源：
Circuits, Systems and Signal Processing | 2003年 / 22卷 / 4期
关键词：
Time Delay; Markov Process; Stability Criterion; Linear Matrix Inequality; Linear Matrix;
D O I：
10.1007/s00034-004-7036-y
中图分类号：
学科分类号：
摘要：
This paper is concerned with the delay-dependent stability for a class of stochastic uncertain systems with time delay and Markovian jump parameters. The uncertainties considered in this paper are norm-bounded and governed by the Markov process. Un like the topics in the existing literature, the stability criterion is expressed in terms of linear matrix inequalities, which can be efficiently solved by using a convex-optimization algorithm. Finally, a numerical example is given to illustrate the effectiveness of the proposed method.
引用
收藏
页码：351 / 365
页数：14
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