Further results on mean square exponential stability of uncertain stochastic delayed neural networks

Author

Wu, Yuanyuan ; Wu, Yuqiang

Author_Institution

Sch. of Autom., Southeast Univ., Nanjing, China

fYear

2010

fDate

26-28 May 2010

Firstpage

2830

Lastpage

2834

Abstract

This letter is concerned with the mean square exponential stability problem for a class of uncertain stochastic neural networks with time-varying delay. The activation functions are assumed to be neither monotonic, nor differentiable. The proposed delay-dependent stability criterion is derived by utilizing the constructed Lyapunov-Krasovskii functional and the novel technique. A numerical example is presented to show the effectiveness and improvement of the proposed method.

Keywords

Lyapunov methods; asymptotic stability; delays; mean square error methods; neurocontrollers; stochastic systems; Lyapunov-Krasovskii functional; delay-dependent stability criterion; mean square exponential stability; time-varying delay; uncertain stochastic delayed neural networks; Automation; Delay; Electronic mail; Linear matrix inequalities; Neural networks; Robust stability; Stability analysis; Stability criteria; Stochastic processes; Symmetric matrices; Linear matrix inequalities; Mean square exponential stability; Stochastic neural networks; Time-varying delay;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2010 Chinese

Conference_Location

Xuzhou

Print_ISBN

978-1-4244-5181-4

Electronic_ISBN

978-1-4244-5182-1

Type

conf

DOI

10.1109/CCDC.2010.5498709

Filename

5498709