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Pinning Control of Complex Network Synchronization: A Recurrent Neural Network Approach

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dc.contributor.author Sánchez, Edgar N.
dc.contributor.author Rodríguez-Castellanos, David I.
dc.contributor.author Chen, Guanrong
dc.contributor.author Ruiz-Cruz, Riemann
dc.date.accessioned 2019-06-14T20:36:11Z
dc.date.available 2019-06-14T20:36:11Z
dc.date.issued 2017-03
dc.identifier.citation E.N. Sanchez, D.I. Rodríguez-Castellanos, G. Chen, and R. Ruiz-Cruz (2017). Pinning Control of Complex Network Synchronization: A Recurrent Neural Network Approach. International Journal of Control, Automation and Systems, 15(3): 1405-1413. http://hdl.handle.net/11117/5895 es
dc.identifier.issn 1598-6446
dc.description 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 es
dc.language.iso eng es
dc.publisher Springer es
dc.rights.uri http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf es
dc.subject Pinning control es
dc.subject complex network es
dc.subject neural network es
dc.subject chaos control es
dc.title Pinning Control of Complex Network Synchronization: A Recurrent Neural Network Approach es
dc.type info:eu-repo/semantics/article es
rei.revisor International Journal of Control, Automation and Systems
rei.peerreviewed Yes es


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