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

fYear

2010

fDate

29-31 July 2010

Firstpage

2429

Lastpage

2433

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2010 29th Chinese

Conference_Location

Beijing

Print_ISBN

978-1-4244-6263-6

Type

conf

Filename

5573140