Title :
Global stability for cellular neural networks with time delay
Author :
Liao, Teh-Lu ; Wang, Fong-Chin
Author_Institution :
Dept. of Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
11/1/2000 12:00:00 AM
Abstract :
A sufficient condition related to the existence of a unique equilibrium point and its global asymptotic stability for cellular network networks with delay (DCNNs) is derived. It is shown that the condition relies on the feedback matrices and is independent of the delay parameter. Furthermore, this condition is less restrictive than that given in the literature.
Keywords :
asymptotic stability; cellular neural nets; delays; feedback; matrix algebra; feedback matrices; global asymptotic stability; sufficient condition; time delay; unique equilibrium point; Application software; Asymptotic stability; Cellular neural networks; Delay effects; Land mobile radio cellular systems; Linear matrix inequalities; Neural networks; Signal processing; State feedback; Sufficient conditions;
Journal_Title :
Neural Networks, IEEE Transactions on
