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模糊细胞神经网络系统鲁棒稳定性分析

Robust Stability Analysis of Fuzzy Cellular Neural Network System
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摘要 采用Lyapunov稳定理论,通过构造Lyapunov函数方法研究具有变时滞模糊神经网络系统鲁棒稳定性,给出了具有变时滞模糊神经网络系统鲁棒渐近稳定性的充分条件. Fuzzy neural networks with time-varying delay system was studied.By employing Lyapunov approach,some sufficient conditions were derived for the robust asymptotic stability of fuzzy neural networks with time-varying delay.
作者 董显正
机构地区 暨南大学数学系
出处 《佳木斯大学学报(自然科学版)》 CAS 2011年第2期225-227,231,共4页 Journal of Jiamusi University:Natural Science Edition
关键词 时变时滞 模糊神经网络 鲁棒稳定性 李雅普诺夫泛函 time-varying delay fuzzy neural networks robust asymptotic stability Lyapunov functional
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参考文献10

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