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Dynamics of impulsive cellular neural networks with time-varying leakage delays on time scales

机译:时变漏延迟冲动蜂窝神经网络的动态

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In this paper, by using a continuation theorem of coincidence degree theory and differential inequality techniques, we establish some sufficient conditions ensuring the existence and global exponential stability of anti-periodic solutions for a class of impulsive cellular neural networks with time-varying leakage delays on time scales. An example is presented to illustrate the effectiveness of the obtained results.
机译:在本文中,通过使用重合度理论和差异不等式技术的延续定理,我们建立了一些充分的条件,确保了一类冲动的脉冲性神经网络的反周期解的存在和全球指数稳定性,随着时间变化的泄漏延迟时间尺度。提出了一个例子以说明所得结果的有效性。

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