Exponential Stability Criteria of Fuzzy Cellular Neural Networks with Time-Varying Delays

Author

Zhong, Shou-ming ; Long, Yong-hong ; Liu, Xing-wen

Author_Institution

Sch. of Appl. Math., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

4144

Lastpage

4148

Abstract

In this paper, the exponential stability problems for fuzzy cellular neural networks with time-varying delays are investigated. We first give a condition of the existence and uniqueness of the equilibrium point for systems under consideration. Then, using the methods of varying parametric and inequality analysis technique, we obtained exponential stability criteria and estimation of the convergence rate for such systems

Keywords

asymptotic stability; cellular neural nets; convergence; delays; fuzzy neural nets; stability criteria; convergence rate estimation; exponential stability criteria; fuzzy cellular neural network; inequality analysis technique; time-varying delays; varying parametric method; Cellular neural networks; Convergence; Cybernetics; Delay effects; Delay estimation; Fuzzy logic; Fuzzy neural networks; Image processing; Machine learning; Neural networks; Stability criteria; Time varying systems; Fuzzy cellular neural network; exponential stability; time-varying delay;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258932

Filename

4028798