DocumentCode :
2943724
Title :
An LMI Approach to Stochastic Stability Analysis for Uncertain Discrete-Time Markovian Jump Singular System with State-Delay
Author :
Zhou, Zhiming ; Lu, Hongqian
Author_Institution :
Shandong Med. Coll., Linyi, China
Volume :
3
fYear :
2009
fDate :
11-12 April 2009
Firstpage :
183
Lastpage :
186
Abstract :
This paper considers the stochastic stability analysis of uncertain discrete-time singular system with Markovian jumping parameters and state delay. The considered systems are not necessarily assumed to be regular and causal. In term of linear matrix inequality approach, a delay-dependent robust admissibility condition is given to ensure the system to be stochastically admissible. Finally, an example is provided to demonstrate the effectiveness of the proposed approach.
Keywords :
Markov processes; delay systems; discrete time systems; linear matrix inequalities; stability; uncertain systems; LMI approach; Markovian jumping parameter; delay-dependent robust admissibility condition; linear matrix inequality; state-delay; stochastic stability analysis; uncertain discrete-time singular system; Control systems; Delay systems; Educational institutions; Linear systems; Matrix decomposition; Robust control; Stability analysis; Stochastic systems; Sufficient conditions; Uncertainty; Markov; Singular system; Stochastic Stability; state-delay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
Type :
conf
DOI :
10.1109/ICMTMA.2009.58
Filename :
5203177
Link To Document :
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