DocumentCode :
1704838
Title :
Stability and robust stability analysis for Markovian jump systems with state delay and more general transition probabilities
Author :
Quan-Yong Fan ; Dan Ye ; Kang-Jian Wang ; Xin-Gang Zhao
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2013
Firstpage :
1380
Lastpage :
1385
Abstract :
This paper considers the problem of delay-dependent stability and robust stability analysis for Markovian jump systems(MJSs) with state delay and more general transition probabilities. The time-delay is considered to be time-varying delays and has upper bounds. The transition probabilities of mode jumps include completely known, boundary known and completely unknown ones. In order to get less conservative criterion, the state information is used as much as possible to construct the Lyapunov-Krasovskii functional, and some new approaches are taken to deal with the partly known transition probabilities. Then, the sufficient conditions for stability and robust stability performance of the underlying systems are proposed. Finally, numerical examples are provided to demonstrate the effectiveness of the resulting criteria.
Keywords :
Lyapunov methods; Markov processes; control system analysis; delays; probability; robust control; stability; Lyapunov-Krasovskii functional method; MJSs; Markovian jump systems; conservative criterion; delay-dependent stability; general transition probabilities; partly known transition probabilities; robust stability analysis; state delay; state information; sufficient conditions; time-varying delays; upper bounds; Delays; Markov processes; Numerical stability; Robust stability; Stability analysis; Upper bound; Markovian jump systems; linear matrix inequality; partly known transition probabilities; time-varying delays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
Type :
conf
Filename :
6639642
Link To Document :
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