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

机译:时滞双向联想记忆神经网络的绝对指数稳定性分析

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摘要

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. (c) 2005 Elsevier Ltd. All rights reserved.
机译:利用Lyapunov稳定性理论研究了具有时滞的时滞双向联想记忆神经网络的绝对指数稳定性问题。推导了一个新的充分条件,该条件可确保平衡的存在和唯一性及其绝对指数稳定性。给出一个说明性的例子来证明所获得结果的有效性。 (c)2005 Elsevier Ltd.保留所有权利。

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