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Global exponential stability of cellular neural networks with time delays

Global exponential stability of cellular neural networks with time delays
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摘要 By using the properties of nonnegative matrices and techniques of differential inequalities,some sufficient conditions for the global exponential stability of cellular neural networks with time delays were obtained.The criteria do not require such conditions as boundedness and differentiability of activation functions.The conditions of the theorem were verified. By using the properties of nonnegative matrices and techniques of differential inequalities, some sufficient conditions for the global exponential stability of cellular neural networks with time delays were obtained. The criteria do not require such conditions as boundedness and differentiability of activation functions. The conditions of the theorem were verified.
作者 刘坚 裴冀南
出处 《Journal of Chongqing University》 CAS 2008年第2期137-140,共4页 重庆大学学报(英文版)
基金 the Foundation of Technology Project of Chongqing Education Commission (No. 041503)
关键词 cellular neural network time delay global exponential stability spectral radius 人工智能系统 稳定性 细胞神经网络 时延
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