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首页> 外文期刊>Journal of Applied Mathematics and Computing >Finite-time stability of fractional-order bidirectional associative memory neural networks with mixed time-varying delays
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Finite-time stability of fractional-order bidirectional associative memory neural networks with mixed time-varying delays

机译:具有混合时变延迟的分数级双向关联记忆神经网络的有限时间稳定性

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摘要

This paper investigates the finite-time stability of fractional-order bidirectional associative memory neural networks with mixed time-varying delays. The sufficient conditions are derived to ensure the finite-time stability of systems by employing some analytical techniques and some inequalities. In addition, some conditions are achieved to guarantee the existence, the uniqueness and the finite-time stability of equilibrium point. Finally, two numerical examples are given to verify the effectiveness of the obtained main results.
机译:本文研究了混合时变延迟的分数级双向关联内存神经网络的有限时间稳定性。 通过采用一些分析技术和一些不等式来得出足够的条件以确保系统的有限时间稳定性。 此外,实现了一些条件以保证存在,唯一性和平衡点的有限稳定性。 最后,给出了两个数值例子来验证所获得的主要结果的有效性。

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