International Journal of Control, Automation and Systems 2017; 15(3): 1405-1413
https://doi.org/10.1007/s12555-016-0364-4
© The International Journal of Control, Automation, and Systems
Using recurrent high order neural networks for identification, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed for achieving synchronization. The robust behavior of the control system is investigated via simulations."
Keywords Chaos control, complex network, neural network, pinning control.
International Journal of Control, Automation and Systems 2017; 15(3): 1405-1413
Published online June 1, 2017 https://doi.org/10.1007/s12555-016-0364-4
Copyright © The International Journal of Control, Automation, and Systems.
Edgar N. Sanchez*, David I. Rodriguez-Castellanos, Guanrong Chen, and Riemann Ruiz-Cruz
CINVESTAV-IPN
Using recurrent high order neural networks for identification, a new scheme for pinning control of complex networks with changing unknown coupling strengths is proposed for achieving synchronization. The robust behavior of the control system is investigated via simulations."
Keywords: Chaos control, complex network, neural network, pinning control.
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