DocumentCode
406120
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
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
104
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
Conference_Location
Nanjing
Print_ISBN
0-7803-7702-8
Type
conf
DOI
10.1109/ICNNSP.2003.1279223
Filename
1279223
Link To Document