Title :
Delay-dependent robust stability for uncertain stochastic neural networks with multiple mixed time-varying delays
Author :
Qin Tiheng ; Pan Quanxiang ; Chen Yonggang
Author_Institution :
Dept. of Basic Courses, Henan Mech. & Electr. Eng. Coll., Xinxiang, China
Abstract :
In this paper, the stability problem is considered for uncertain stochastic neural networks with multiple discrete and distributed time-varying delays. By choosing the suitable Lyapunov-Krasovskii functional, and combining with Jensen integral inequality, two delay-dependent stability and robust stability conditions are proposed in terms of linear matrix inequalities (LMIs). The obtained results generalize and improve some existing ones in the literatures.
Keywords :
Lyapunov matrix equations; delays; discrete time systems; distributed control; linear matrix inequalities; neurocontrollers; robust control; stochastic systems; uncertain systems; Jensen integral inequality; Lyapunov Krasovskii function; delay dependent robust stability; discrete time varying delay; distributed time varying delay; linear matrix inequality; uncertain stochastic neural network; Artificial neural networks; Asymptotic stability; Biological neural networks; Delay; Stability criteria; Stochastic processes; Linear Matrix Inequalities (LMIs); Multiple Time-varying Delays; Robust Stability; Stochastic Neural Networks;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
