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Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural Network

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 anal...

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Bibliographic Details
Published in:Computación y Sistemas
Main Authors: Jose P. Perez, Joel Perez P., Angel Flores H., Martha S. Lopez de la Fuente
Format: Artigo
Language:Inglês
Published: Instituto Politécnico Nacional 2017
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Online Access:https://www.redalyc.org/articulo.oa?id=61552758009
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