Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258932
