DocumentCode :
232242
Title :
State feedback control of Markovian jump systems with Markovian delay and uncertain transition probability
Author :
Li Qiu ; Gang Xu
Author_Institution :
Shenzhen Key Lab. of Urban Rail Transit, Shenzhen Univ., Shenzhen, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
5655
Lastpage :
5659
Abstract :
This paper is addressed with the networked-based state feedback control issue for a class of discrete-time Markovian jump linear systems (MJLS) with the random sensor to controller (S-C) time delay and the uncertain transition probability. Considering the random time delay occurring in feedback communication link, the resulting closed-loop system is modeled as a discrete-time Markovian jump linear delay system governed by two mutual independence Markov chains. A new stability criterion is established within the Markovian jump framework by applying a Lyapunov stability theory and linear matrix inequalities (LMI) technique. A simulation example illustrates the validity and feasibility of the method.
Keywords :
Lyapunov methods; Markov processes; closed loop systems; delays; discrete time systems; feedback; linear matrix inequalities; networked control systems; nonlinear control systems; stability; state feedback; LMI technique; Lyapunov stability theory; MJLS; Markovian delay; closed-loop system; discrete-time Markovian jump linear systems; feedback communication link; linear matrix inequalities; networked-based state feedback control; random sensor-to-controller time delay; stability criterion; transition probability; Closed loop systems; Delay effects; Delays; Linear systems; Markov processes; Networked control systems; State feedback; Markovian jump linear systems; networked control systems; random time delay; uncertain transition probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6895906
Filename :
6895906
Link To Document :
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