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变时滞脉冲下时滞神经网络的稳定性

Stability of delayed neural networks with variable time impulsive control
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摘要 对时滞神经网络的全局稳定性进行研究,施加一个与系统状态有关的时滞脉冲控制,通过B-等价系统将对变时滞神经网络的稳定性研究等价为对相对应的定时滞神经网络稳定性的研究. This paper addresses the problem of stability for delayed neural networks, applied a system state and the time delayed impulsive control. We shall show the variable time impulsive delayed neural networks can reduce to the case of fixed time impulses via Bequivalence method. Then we can by the study of the stability of the variable time impulsive delayed neural networks to change to the corresponding fixed time impulses delayed neural networks stability study.
作者 白丹莹
出处 《周口师范学院学报》 CAS 2016年第5期16-20,共5页 Journal of Zhoukou Normal University
基金 国家自然科学基金(No.61302180)
关键词 变时滞脉冲 时滞神经网络 全局指数稳定 B-等价系统 variable time impulse delayed neural network global exponential stability B- equivalence
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参考文献10

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