Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural Network
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| Natura: | Artículo científico |
| Lingua: | en |
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Instituto Politécnico Nacional
2017
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| _version_ | 1876422917005246464 |
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| author | Jose P. Perez |
| author_facet | Jose P. Perez |
| contents | Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural Network Jose P. Perez Joel Perez P. Angel Flores H. Martha S. Lopez de la Fuente Computación work Lyapunov analysis Trajectory tracking recurrent neural net complex dynamical network 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. 2017 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61552758009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.21 |
| format | Artículo científico |
| id | redalyc_61552758009 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Instituto Politécnico Nacional |
| spellingShingle | Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural Network Jose P. Perez Computación work Lyapunov analysis Trajectory tracking recurrent neural net complex dynamical network Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural Network Jose P. Perez Joel Perez P. Angel Flores H. Martha S. Lopez de la Fuente Computación work Lyapunov analysis Trajectory tracking recurrent neural net complex dynamical network 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. 2017 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61552758009 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.3 Vol.21 |
| title | Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural Network |
| topic | Computación work Lyapunov analysis Trajectory tracking recurrent neural net complex dynamical network |
| url | https://www.redalyc.org/articulo.oa?id=61552758009 |