一类分数阶神经网络的稳定性（英文）  

Stability Analysis of A Class of Fractional-Order Neural Networks

作　　者：盖明久[1] 崔世维[1] 刘孝磊[1] 

机构地区：[1]海军航空工程学院基础部,山东烟台264001

出　　处：《生物数学学报》2016年第3期273-280,共8页Journal of Biomathematics

基　　金：Supported by the Science Research Foundation of Naval Aeronautical and Astronautical University

摘　　要：本文构造Lyapunov函数研究了一类分数阶神经网络的稳定性,建立了LMI形式的充分条件.仿真实例验证了结论的有效性.The stability of a class of fractional-order neural networks is investigated via Lyapunov direct method and LMI approach.A sufficient condition can be verified conveniently by the Matlab LMI toolbox.A numerical example and corresponding numerical simulation are presented to demonstrate the effectiveness of the result.

关 键 词：分数阶神经网络 稳定性 LYAPUNOV方法 LMI 

分 类 号：O175.13[理学—数学]