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Trajectory Tracking of Complex Dynamical Network for Delayed Recurrent Neural Network via Control V-Stability

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4 Author(s)
Pérez, J.P. ; Dept. of Phys. & Math. Sci., Autonomous Univ. of Nuevo Leon, Nuevo Leon, Mexico ; Gonzalez, J.A. ; Soto, Rogelio ; Pérez, J.

In this paper the problem of trajectory tracking is studied. Based on the V-stability and Lyapunov theory, a control law that achieves the global asymptotic stability of the tracking error between a delayed 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 a Chen's dynamical system.

Published in:

Electronics, Robotics and Automotive Mechanics Conference (CERMA), 2010

Date of Conference:

Sept. 28 2010-Oct. 1 2010