Global exponential stability of cellular neural networks with variable delays and impulses
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    Abstract:

    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.

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History
  • Received:October 17,2005
  • Revised:November 30,2005
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