Title :
Stabilisation of Markov jump linear systems subject to both state and mode detection delays
Author :
Ting Yang ; Lixian Zhang ; Yuandi Li ; Yusong Leng
Author_Institution :
Res. Center of Intell. Control & Syst., Harbin Inst. of Technol., Harbin, China
Abstract :
This study addresses the stabilisation problem of a class of discrete-time Markov jump linear systems subject to time delays which occur in both the system state and mode detection. The mode detection delay means that there exists a lag between the switching of the system modes and the switching of the corresponding controllers. The state delays are considered to be random but with upper and lower bounds, and the mode detection delay is assumed to be constant. With an extended state space, the underlying system can be remodelled as a Markov jump linear system in which the system complexity and the number of system modes are both increased to a certain extent, but remain unchanged when the mode detection delay becomes larger. A sufficient condition guaranteeing the stochastic stability of the system is obtained via a modified stochastic Lyapunov function. The effectiveness of the proposed design approach is demonstrated by a numerical example.
Keywords :
Lyapunov methods; Markov processes; delays; discrete time systems; linear systems; stability; stochastic processes; discrete-time Markov jump linear systems; lower bounds; mode detection delays; modified stochastic Lyapunov function; stabilisation problem; state detection delays; stochastic stability; sufficient condition; system complexity; system modes; time delays; upper bounds;
Journal_Title :
Control Theory & Applications, IET
DOI :
10.1049/iet-cta.2013.0507