Title :
Stochastic stability analysis for uncertain singular system with Markovian jumping parameters
Author :
Lu, Hongqian ; Zhou, Wuneng ; Xu, Yuhua ; Jiang, Lei ; Li, Minghao
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai
Abstract :
This paper deals with the problem of delay-dependent stochastically admissible for uncertain singular systems with time-varying. Some new delay-dependent stochastically admissible conditions are devised by taking the relationship between the terms in the Leibniz-Newton formula into account. Finally, a numerical example is provided to demonstrate the efficiency of the proposed methods in this paper.
Keywords :
Markov processes; Newton method; delays; stability; stochastic systems; time-varying systems; uncertain systems; Leibniz-Newton formula; Markovian jumping parameters; delay-dependent stochastically admissible conditions; stochastic stability analysis; time-varying systems; uncertain singular system; Stability analysis; Stochastic systems; Upper bound; Delay-Dependent; Linear Matrix Inequality (LMI); Markovian Jumping Parameters; Singular System;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4598092
