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一类分数阶Hopfield神经网络的Mittag-Leffler稳定性
引用本文:刘孝磊,马翠玲,郝树艳. 一类分数阶Hopfield神经网络的Mittag-Leffler稳定性[J]. 吉首大学学报(自然科学版), 2015, 36(5): 21-26. DOI: 10.3969/j.cnki.jdxb.2015.05.005
作者姓名:刘孝磊  马翠玲  郝树艳
作者单位:(海军航空工程学院基础部数学教研室,山东 烟台 264001)
摘    要:研究了Caputo导数形式下的一类分数阶Hopfield神经网络的Mittag-Leffler稳定性.利用Mittag-Leffler函数的相关性质,得到该类系统平衡点的存在性与唯一性的充分条件,进而得到该类分数阶Hopfield神经网络的Mittag-Leffler稳定性的充分条件.最后,利用仿真实例验证了该结果的正确性与有效性.

关 键 词:分数阶神经网络  Mittag-Leffler函数  Mittag-Leffler稳定性

Mittag-Leffler Stability of a Class of Fractional Order Hopfield Neural Networks
LIU Xiao-Lei,MA Cui-Ling,HAO Shu-Yan. Mittag-Leffler Stability of a Class of Fractional Order Hopfield Neural Networks[J]. Journal of Jishou University(Natural Science Edition), 2015, 36(5): 21-26. DOI: 10.3969/j.cnki.jdxb.2015.05.005
Authors:LIU Xiao-Lei  MA Cui-Ling  HAO Shu-Yan
Affiliation:(Institute of System Science and Mathematics,Naval Aeronautical and Astronautical University,Yantai 264001,Shandong China)
Abstract:In this paper,we investigate the Mittag-Leffler stability of a class of fractional order Hopfield neural network with Caputo derivative.By using the Mittag-Leffler function,we get some sufficient conditions to guarantee the existence and uniqueness of the equilibrium point and its Mittag-Leffler stability for the fractional order Hopfield neural networks.Finally,we use one numerical simulation example to illustrate the correctness and effectiveness of our results.
Keywords:fractional order neural networks   Mittag-Leffler function   Mittag-Leffler stability
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