DocumentCode :
935758
Title :
Robust stability and stabilization of uncertain discrete-time Markovian jump linear systems
Author :
de Souza, Carlos E.
Author_Institution :
Dept. of Syst. & Control, Petropolis, Brazil
Volume :
51
Issue :
5
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
836
Lastpage :
841
Abstract :
This note deals with robust stability and control of uncertain discrete-time linear systems with Markovian jumping parameters. Systems with polytopic-type parameter uncertainty in either the state-space model matrices, or in the transition probability matrix of the Markov process, are considered. This note develops methods of robust stability analysis and robust stabilization in the mean square sense which are dependent on the system uncertainty. The design of both mode-dependent and mode-independent control laws is addressed. The proposed methods are given in terms of linear matrix inequalities. Numerical examples are provided to demonstrate the effectiveness of the derived results.
Keywords :
Markov processes; control system synthesis; discrete time systems; linear matrix inequalities; linear systems; robust control; state-space methods; stochastic systems; uncertain systems; Markovian jumping parameter; linear matrix inequalities; mode-dependent control; mode-independent control; polytopic-type parameter uncertainty; robust stability; state-space model matrices; transition probability matrix; uncertain discrete-time linear systems; Asymptotic stability; Automatic control; Closed loop systems; Control systems; Cost function; Linear systems; Lyapunov method; Optimal control; Robust stability; Steady-state; Discrete-time systems; Markovian jump linear systems; robust stability; robust stabilization;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2006.875012
Filename :
1632316
Link To Document :
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