Title :
On Delay-Dependent Stochastic Stability Analysis of Markovian Jump Linear Systems With Time Delay
Author :
Huang, He ; Chen, Xiaoping
Author_Institution :
Sch. of Electron. & Inf. Eng., Soochow Univ., Suzhou, China
Abstract :
The stochastic stability analysis problem is studied in this paper for Markovian jump linear systems with time delay. An improved approach is proposed to address it by taking a triple-integral term into account in the defined Lyapunov functional. By means of linear matrix inequalities, a delay-dependent condition is derived to guarantee the stochastic stability of the delayed Markovian jump linear systems. A numerical example is presented to demonstrate the advantage of the developed approach over some existing results.
Keywords :
Lyapunov matrix equations; Markov processes; delays; linear matrix inequalities; linear systems; stability; stochastic processes; Lyapunov functional; delay dependent stochastic stability analysis; delayed Markovian jump linear systems; linear matrix inequalities; time delay; triple integral term; Delay; Delay effects; Linear systems; Numerical stability; Stability criteria; Time varying systems; Lyapunov functional; Markovian jump linear systems; stochastic stability; time delay;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244648