Input-to-state stability for a class of delayed dynamical systems
by Xuyang Lou, Baotong Cui
International Journal of Modelling, Identification and Control (IJMIC), Vol. 5, No. 1, 2008

Abstract: This paper is concerned with the input-to-state stability (ISS) problem for a class of neural networks with time-varying delay. Some criteria are proposed to guarantee ISS which also ensures the neural networks to be globally asymptotically stable by exploiting Lyapunov stability theory and some analysis techniques. The applicability of these conditions is illustrated by two examples. Our results make a preparation for the research about ISS of delayed neural networks and generalise some existing ones.

Online publication date: Wed, 03-Dec-2008

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