Resumen

PEREZ, Jose P.; PEREZ P., Joel; FLORES H., Angel  y  LOPEZ DE LA FUENTE, Martha S.. Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural Network. Comp. y Sist. [online]. 2017, vol.21, n.3, pp.485-492. ISSN 2007-9737.  https://doi.org/10.13053/cys-21-3-2097.

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.

Palabras llave : Trajectory tracking; recurrent neural net-work; complex dynamical network; Lyapunov analysis.

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