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doi:10.1016/S0893-6080(02)00039-4 
Copyright © 2002 Elsevier Science Ltd. All rights reserved.
Global stability of neural networks with distributed delays
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Received 3 May 2001;
Abstract
Using the Lyapunov functional approach, we study the global stability of a class of neural networks with distributed delays. Without assuming the boundedness, monotonicity and differentiability of the activation functions and symmetry of the interconnection matrix, we give some new sufficient conditions on the existence, uniqueness and global asymptotic stability of the equilibrium point. Our results improve, extend and complement some existing ones.
Author Keywords: Distributed delays; Global asymptotic stability; Lyapunov function; M-matrix; Neural networks
Article Outline
Present address: Department of Mathematics, Wilfrid Laurier University, Waterloo, Ont., Canada N2L 3C5. Tel.: +1-780-492-3396; fax: +1-780-492-6826/519-884-9738; email: ychen@vega.math.ualberta.ca; email: ychen@wlu.ca
