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dc.contributor.authorSánchez, Edgar N.
dc.contributor.authorRodríguez-Castellanos, David I.
dc.contributor.authorChen, Guanrong
dc.contributor.authorRuiz-Cruz, Riemann
dc.date.accessioned2019-06-14T20:36:11Z
dc.date.accessioned2023-03-21T18:09:33Z
dc.date.available2019-06-14T20:36:11Z
dc.date.available2023-03-21T18:09:33Z
dc.date.issued2017-03
dc.identifier.citationE.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/11117/5895es
dc.identifier.issn1598-6446
dc.identifier.urihttps://hdl.handle.net/20.500.12032/74375
dc.descriptionUsing 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 simulationses
dc.language.isoenges
dc.publisherSpringeres
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectPinning controles
dc.subjectcomplex networkes
dc.subjectneural networkes
dc.subjectchaos controles
dc.titlePinning Control of Complex Network Synchronization: A Recurrent Neural Network Approaches
dc.typeinfo:eu-repo/semantics/articlees


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