Absolute exponential stability analysis of delayed bi-directional associative memory neural networks

Xuyang Lou and Baotong Cui

Chaos, Solitons & Fractals, 2007, vol. 31, issue 3, 695-701

Abstract: The problem of absolute exponential stability for delayed bi-directional associative memory neural networks with time delay is investigated via Lyapunov stability theory. A new sufficient condition ensuring existence and uniqueness of equilibrium and its absolute exponential stability is derived. An illustrative example is given to demonstrate the effectiveness of the obtained results.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:31:y:2007:i:3:p:695-701

DOI: 10.1016/j.chaos.2005.10.027

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