Title :
On the global asymptotic stability of delayed cellular neural networks
Author :
Arik, Sabri ; Tavsanoglu, Vedat
Author_Institution :
Dept. of Electron., Istanbul Univ., Turkey
fDate :
4/1/2000 12:00:00 AM
Abstract :
In this paper, a sufficient condition is presented for the uniqueness and global asymptotic stability of the equilibrium point for delayed cellular neural networks (DCNN´s). This condition imposes constraints on the feedback matrices independently of the delay parameter. This result is also discussed from the point of view of its relationship to earlier results
Keywords :
asymptotic stability; cellular neural nets; delays; matrix algebra; delay parameter; delayed cellular neural networks; equilibrium point; feedback matrices; global asymptotic stability; sufficient condition; uniqueness; Asymptotic stability; Cellular neural networks; Delay; Equations; Neural networks; Neurofeedback; Object detection; Output feedback; State feedback; Sufficient conditions;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
