Title :
Delay-dependent stochastic stability of uncertain discrete-time Markovian jump singular system
Author :
Lu, Hong-Qian ; Zhou, Wu-Neng
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai
Abstract :
The problem of stochastic stability analysis for uncertain discrete-time Markovian jump singular systems is investigated in this paper. The considered systems are subject norm-bounded parameter uncertainties and constant time delay. By decomposing the nominal system into slow and fast subsystems, a linear matrix inequality condition is proposed for a discrete-time Markovian jump singular system to be regular, causal and stable. Based on this, a sufficient condition for stochastic stability of an uncertain discrete-time Markovian jump singular system with time-delay is obtained. Finally, an example is provided to demonstrate the effectiveness of the proposed approach.
Keywords :
delays; discrete time systems; linear matrix inequalities; stochastic systems; uncertain systems; constant time delay; delay-dependent stochastic stability; linear matrix inequality; norm-bounded parameter uncertainties; uncertain discrete-time Markovian jump singular system; Control systems; Cybernetics; Delay; Linear matrix inequalities; Machine learning; Robust control; Stability; Stochastic systems; Sufficient conditions; Uncertainty; Discrete-time Singular System; Linear Matrix Inequality (LMI); Markovian Jumping Parameters; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
DOI :
10.1109/ICMLC.2008.4620787