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具时滞脉冲细胞神经网络的全局指数稳定性 被引量:3

GLOBAL EXPONENTIAL STABILITY OF CELLULAR NEURAL NETWORKS WITH VARIABLE DELAYS AND IMPULSES
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摘要 研究了一类新的具有脉冲的时滞细胞神经网络系统模型,引入了一类新的脉冲条件,在不假设激励函数的有界性、单调性和光滑性的条件下,得到了系统平衡点的存在性、唯一性及全局指数稳定性的一些新的充分条件,并得到了指数收敛速率. A new model of cellular neural networks involving variable delays and impulses was investigated. Some new sufficient conditions for the existence and global exponential stability of a unique equilibrium of the impulsive delayed model were obtained, without assuming the boundedness, monotonicity or differentiability of the activation functions and subjected to impulsive state at fixed time. The results extend and improve the earlier publications.
机构地区 信息工程大学
出处 《动力学与控制学报》 2006年第1期88-92,共5页 Journal of Dynamics and Control
基金 国家自然科学天元基金(10571024) 河南高校杰出科研人才创新工程资助项目(2003KJCX008)~~
关键词 全局指数稳定 细胞神经网络 时滞 脉冲 global exponential stability, cellular neural networks, delays, impulses
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参考文献19

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同被引文献23

  • 1季策,张化光.具有参数摄动的时滞Hopfield神经网络的鲁棒稳定性[J].电子学报,2005,33(1):115-118. 被引量:3
  • 2孙炜,王耀南.一种CMAC网络模型及其在机器人控制中的应用[J].动力学与控制学报,2005,3(3):56-62. 被引量:4
  • 3黄立宏,胡穗华.具一般输出函数的时滞细胞神经网络的指数稳定性[J].湖南大学学报(自然科学版),2007,34(1):85-88. 被引量:1
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