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
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