Title :
A new result on global exponential stability of cellular neural networks with variable delay
Author :
Zhou, Dongmzng ; Zhang, Liming ; Zhao, Dongfeng
Author_Institution :
Information Coll., Yunnan Univ., Kunming, China
Abstract :
In this paper, we discuss cellular neural networks (CNNs) with variable delay, investigating their global exponential stability and estimating their the exponential convergence rates. Some sufficient conditions for a class of CNNs with variable delay to be globally exponentially stable independent of the delay are given.
Keywords :
asymptotic stability; cellular neural nets; delays; nonlinear systems; cellular neural networks; exponential convergence rates; global exponential stability; nonlinear dynamical system; variable delay; Cellular neural networks; Delay estimation; Educational institutions; Nonlinear dynamical systems; Partial differential equations; Recurrent neural networks; Signal processing; Stability; State feedback; Sufficient conditions;
Conference_Titel :
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
0-7803-7702-8
DOI :
10.1109/ICNNSP.2003.1279223
