文章基本信息

标题：Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural Network
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作者：Jose P. Perez ; Joel Perez P. ; Angel Flores H. 等
期刊名称：Computación y Sistemas
印刷版ISSN：1405-5546
出版年度：2017
卷号：21
期号：3
页码：485-492
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 the Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a recurrent neural network and a complex dynamical network is obtained. To illustrate the analytic results we present a tracking simulation of a dynamical network with each node being just one Lorenz ́s dynamical system and three identical Chen’s dynamical systems.
其他关键词：Trajectory tracking; recurrent neural net- work; complex dynamical network; Lyapunov analysis.