On Delay-Dependent Exponential Stability of Neutral-Type Neural Networks with Interval Time-Varying Delays

Author

Wu, Hongli ; Zhong, Yong ; Mai, Huanhuan

Author_Institution

Cheng Du Inst. of Comput. Applic., Hainan Normal Univ., Haikou, China

Volume

2

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

563

Lastpage

569

Abstract

This paper deals with the problem of exponential stability for a class of neutral-type networks with interval time-varying delays. An approach combining the Lyapunov-Krasovskii functional with linear matrix inequality (LMI) is taken in our study. The theoretical analysis and numerical simulations show that our results are effectiveness. It is interested that there is a relationship between the exponential convergence rates with the bound of maximum value of interval time-varying delays.

Keywords

Lyapunov methods; asymptotic stability; linear matrix inequalities; neural nets; Lyapunov-Krasovskii functional; delay-dependent exponential stability; interval time-varying delays; linear matrix inequality; neutral-type neural networks; Artificial intelligence; Artificial neural networks; Computational intelligence; Computer applications; Convergence; Delay effects; Delay estimation; Neural networks; Robust stability; Time varying systems; Exponential stability; Interval time-varying delays; Neural networks; Neutral-type;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.134

Filename

5375926