Global exponential stability of impulsive cellular neural networks with time-varying and distributed delay☆
Review articleOpen access
Kelin Li - No affiliation found
2009/08/15 Full-length article DOI: 10.1016/j.chaos.2008.06.003
Journal: Chaos, Solitons & Fractals
Abstract:
AbstractIn this paper, a model of impulsive cellular neural networks with time-varying and distributed delays is investigated. By establishing an integro-differential inequality with impulsive initial conditions and employing the M-matrix theory, some sufficient conditions ensuring the existence, uniqueness and global exponential stability of equilibrium point for impulsive cellular neural networks with time-varying and distributed delays are obtained. An example is given to show the effectiveness of the results obtained here.
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