Title :
Refined exponential stability for stochastic Markovian jump systems with nonlinearity and time-varying delays
Author :
Yuan, Meng ; Zhang, Xian
Author_Institution :
Sch. of Math. Sci., Heilongjiang Univ., Harbin, China
Abstract :
This paper is concerned with exponential stability for stochastic Markovian jump systems with nonlinearity and time-varying delay. By combining Lyapunov-Krasovskii functional method and Jensen inequality technique, a delay-dependent and delay-rate-dependent exponential stability criterion for stochastic Markovian jump systems with nonlinearity and time-varying delay is investigated. The proposed approach removes some free-weighting matrices required in [Int. J. Robust Nonlinear control, 2010, 20(1): 16-26], which reduces computational complexity. It is mathematically shown that the approach proposed here may be less conservative than the one mentioned above. Two numerical examples are provided to illustrate the applicability and the benefits of the proposed approach.
Keywords :
Lyapunov methods; asymptotic stability; computational complexity; control nonlinearities; delays; matrix algebra; stochastic systems; Jensen inequality technique; Lyapunov-Krasovskii functional method; computational complexity; delay-rate-dependent exponential stability criterion; free-weighting matrices; nonlinearity; refined exponential stability; stochastic Markovian jump systems; time-varying delays; Control theory; Delay; Nickel; Silicon; Stability; Stochastic processes; Time varying systems; exponential stability; stochastic Markovian jump systems;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3