Exponential stability of impulsive neural networks with time-varying delays
作者： Zai-Tang Huang , Qi-Gui Yang , Xiao-shu Luo
DOI: 10.1016/J.CHAOS.2006.05.089
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摘要: Abstract This paper considers the problems of global exponential stability for impulsive neural networks with time-varying delays, some new criteria ensuring globally are obtained. The results obtained impose constraint conditions on network parameters system independent and applicable to all continuous non-monotonic neuron activation functions. Compared previously reported in literature, our this provide better one more set determining delays. Moreover, two illustrative examples will be given demonstrate effectiveness results.
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