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Existence and global exponential stability of anti-periodic solutions of high-order bidirectional associative memory (BAM) networks with time-varying delays on time scales

机译:具有时标时变时滞的高阶双向联想存储(BAM)网络的反周期解的存在性和全局指数稳定性

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摘要

In this paper, high-order bidirectional associative memory (BAM) networks with time-varying delays on time scales are investigated. With the help of the time scale calculus theory, differential inequality theory, some analysis skills and the Liapunov functional method, a set of sufficient conditions ensuring the existence and exponential stability of anti-periodic solutions for the high-order BAM neural network with time-varying delays are obtained. Our results are new and complement some previously known ones. Moreover, a numerical example is presented to verify the theoretical results. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文研究了在时标上具有时变时滞的高阶双向联想存储(BAM)网络。借助时间尺度演算理论,微分不等式理论,一些分析技巧和Liapunov泛函方法,提供了一组充分的条件,以确保带时间的高阶BAM神经网络的反周期解的存在性和指数稳定性。获得各种延迟。我们的结果是新的,并且补充了一些先前已知的结果。此外,通过数值例子验证了理论结果。 (C)2015 Elsevier B.V.保留所有权利。

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