Stability of Delayed Cellular Neural Networks Basedon M-matrix Theory
JIANG Mei
HE Hanlin
YAN Lu
Abstract：This paper deals with the stability of delayed cellular neural networks .By using the M‐matrix theory with its judgment lemma and applying appropriate linear parameter transformation ,the condition of the stability of the system is de‐duced .Compared with the Lyapunov method ,this paper provides a simpler one which reduces the original conservative con‐clusions and improvement the sufficient condition of origin as globally asymptotical stability equilibrium points .The simula‐tion example demonstrates the method is effective .
Keywords：M-matrixdelayed cellular neural networks(DCNNs)stability
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 349-352 )