文章基本信息

标题：Fractional Complex Dynamical Systems for Trajectory Tracking using Fractional Neural Network
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作者：Joel Perez P.
期刊名称：Computación y Sistemas
印刷版ISSN：1405-5546
出版年度：2016
卷号：20
期号：2
页码：219-225
语种：English
出版社：Instituto Politécnico Nacional
其他摘要：In this paper the problem of trajectory tracking is studied. Based on Lyapunov theory, a control law that achieves global asymptotic stability of the tracking error between a fractional recurrent neural network and the state of each single node of the fractional complex dynamical network is obtained. To illustrate the analytic results we present a tracking simulation of a simple network with four different nodes and five non-uniform links.
其他关键词：Fractional complex dynamical systems; trajectory tracking; Lyapunov theory; control law.