Delay-dependent asymptotic stability of cellular neural networks with time varying delay

Author

Jianhua, Zhang ; Huiguang, Li ; Xinping, Guan ; Xueli, Wu

Author_Institution

Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao

fYear

2008

fDate

25-27 June 2008

Firstpage

2890

Lastpage

2893

Abstract

In this note, the global asymptotic stability of a class of delayed cellular neural networks is studied. Some new sufficient conditions are presented for the uniqueness of equilibrium point and the global stability of cellular neural networks with time varying delay by constructing Lyapunov functional and using linear matrix inequality (LMI). A numerical example is presented to illustrate the effectiveness of our theoretical results.

Keywords

Lyapunov methods; asymptotic stability; cellular neural nets; delays; linear matrix inequalities; time-varying systems; Lyapunov functional; cellular neural networks; delay-dependent asymptotic stability; global asymptotic stability; linear matrix inequality; time varying delay; Asymptotic stability; Automation; Cellular neural networks; Delay effects; Educational institutions; Equations; Intelligent control; Linear matrix inequalities; Neural networks; Sufficient conditions; Neural networks; stability; time delay;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593384

Filename

4593384