Title :
Robust stochastic stability analysis for positive discrete-time Markov jump delay systems with delayed impulses
Author :
Shuo, Li ; Zhengrong, Xiang
Author_Institution :
School of Automation, Nanjing University of Science and Technology, Nanjing 210094
Abstract :
This paper is concerned with robust stochastic stability analysis for a class of positive discrete-time Markov jump delay systems (MJDSs) with partly known transition probabilities and delayed impulses. Some new results are given based on co-positive linear stochastic Lyapunov functionals. Firstly, a sufficient condition which guarantees that an unstable positive MJDS can be stochastically stable under certain stabilizing impulses is obtained. Then it is also shown that a stable positive MJDS can still remain its stochastic stability property with destabilizing impulses if the nearest impulsive time interval is appropriately large. Finally, a numerical example is given to illustrate the effectiveness of the present method.
Keywords :
Delay systems; Markov processes; Numerical stability; Robustness; Stability analysis; Sufficient conditions; Impulses; Markov jump systems (MJSs); Positive systems; Stochastic stability;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7259972