DocumentCode :
2526060
Title :
Stability analysis and stabilization for continuous-time Makov jump linear system with partly known transition probabilities
Author :
Wang, Mingshun ; Shen, Mouquan
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fYear :
2011
fDate :
23-25 May 2011
Firstpage :
4343
Lastpage :
4346
Abstract :
This paper considers the stability analysis and stabilization of continuous-time Markov jump linear systems (MJLSs) with partly known transition probabilities. According to the bounds of transition probabilities, the partly known transition probabilities considered in this paper covers the cases of known, unknown with known bounds and completely unknown. New sufficient conditions which can be used to stability analysis and stabilization for the considered system are obtained in terms of LMIs. In the case that the transition probabilities are known, the results proposed in the paper are reduced to the existing ones. A numerical is given to illustrate the effectiveness of the proposed method.
Keywords :
Markov processes; continuous time systems; linear matrix inequalities; linear systems; stability; LMI; continuous time Markov jump linear system; linear matrix inequalities; stability analysis; stabilization; transition probabilities; Linear systems; Markov processes; Power system stability; Robustness; Stability analysis; Symmetric matrices; Markov jump linear systemsPartly known transition probabilitiesParameter dependent Lyapunov functionLinear matrix inequalities(LMIs);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
Type :
conf
DOI :
10.1109/CCDC.2011.5968990
Filename :
5968990
Link To Document :
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