Title :
Stability of cellular neural networks with time-varying delay
Author :
Yu, Gwo-Jeng ; Lu, Chien-Yu ; Tsai, Jason Sheng-Hong ; Su, Te-Jen ; Liu, Bin-Da
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng-Kung Univ., Tainan, Taiwan
fDate :
5/1/2003 12:00:00 AM
Abstract :
The stability for cellular neural networks (CNNs) with time-varying delay is introduced by using a linear-matrix inequality. A sufficient condition related to the global asymptotic stability for delay CNNs is proposed. It is shown that the condition relies on the dependence of the delay. This condition is less restrictive than that given in the literature.
Keywords :
asymptotic stability; cellular neural nets; delays; linear matrix inequalities; stability criteria; cellular neural networks; delay CNNs; global asymptotic stability; linear-matrix inequality; stability; sufficient condition; time-varying delay; Application software; Asymptotic stability; Cellular neural networks; Delay effects; Hardware; Neural networks; Output feedback; Software systems; State feedback; Sufficient conditions;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
DOI :
10.1109/TCSI.2003.811031
