Dissipativity analysis of singular systems with Markovian jump parameters and mode-dependent mixed time-delays

被引：32
|
作者：
Cui, Wen-xia [1 ]
Fang, Jian-an [1 ]
Shen, Yue-lin [2 ]
Zhang, Wen-bing [1 ]
机构：
[1] Donghua Univ, Sch Informat Sci & Technol, Shanghai 201620, Peoples R China
[2] Zilang Cocat Tech Coll, Dept Mech & Elect Engn, Nantong 226000, Jiangsu, Peoples R China
来源：
NEUROCOMPUTING | 2013年 / 110卷
关键词：
Singular system; Markovian jump; Dissipativity; Stochastically admissibility; H-INFINITY CONTROL; DESCRIPTOR SYSTEMS; ROBUST STABILITY; LINEAR-SYSTEMS; STABILIZATION; DISCRETE;
D O I：
10.1016/j.neucom.2012.11.026
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 problem of delay-dependent alpha-dissipativity analysis is investigated for a general class of singular systems with Markovian jump parameters and mode-dependent mixed time-delays. By using the novel Lyapunov-Krasovskii functional and stochastic analysis technology, the new criteria are derived to guarantee that the addressed singular systems are stochastically admissible and strictly (Q,R,S)-alpha-dissipative. Numerical examples are presented to illustrate the effectiveness and less conservativeness of the proposed theoretical results. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：121 / 127
页数：7
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