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Finite-Time Stability of Fractional-Order Neural Networks with Delay 被引量:2

Finite-Time Stability of Fractional-Order Neural Networks with Delay
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摘要 Finite-time stability of a class of fractional-order neural networks is investigated in this paper. By Laplace transform, the generalized Gronwa11 inequality and estimates of Mittag-Leffier functions, sufficient conditions are pre- sented to ensure the finite-time stability of such neural models with the Caputo fractionM derivatives. Furthermore, results about asymptotical stability of fractional-order neural models are also obtained.
出处 《Communications in Theoretical Physics》 SCIE CAS CSCD 2013年第8期189-193,共5页 理论物理通讯(英文版)
基金 Supported by the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.20093401120001 the Natural Science Foundation of Anhui Province under Grant No.11040606M12 the Natural Science Foundation of Anhui Education Bureau under Grant No.KJ2010A035 the 211 Project of Anhui University under Grant No.KJJQ1102
关键词 neural networks FRACTIONAL-ORDER finite-time stability Gronwall inequality 时间稳定性 神经网络 有限时间 分数阶 延迟 拉普拉斯变换 神经模型 充分条件
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