Master-Slave Synchronization for Trajectory Tracking Error Using Fractional Order Time-Delay Recurrent Neural Networks via Krasovskii-Lur’e Functional for Chua’s Circuit
Título del documento: Master-Slave Synchronization for Trajectory Tracking Error Using Fractional Order Time-Delay Recurrent Neural Networks via Krasovskii-Lur’e Functional for Chua’s Circuit
Revista: Computación y sistemas
Base de datos:
Número de sistema: 000560606
ISSN: 1405-5546
Autors: 1
2
2
2
Institucions: 1Universidad Autónoma de Nuevo León, Facultad de Ingeniería Mecánica y Eléctrica, México
2Universidad Autónoma de Nuevo León, Facultad de Ciencias Fisicomatemáticas, México
Any:
Període: Jul-Sep
Volum: 25
Número: 3
Paginació: 537-544
País: México
Idioma: Inglés
Resumen en inglés Paper presents an application of a Fractional Order Time Delay Neural Networks to chaos synchronization. The two main methodologies, on which the approach is based, are fractional order time-delay recurrent neural networks and the fractional order inverse optimal control for nonlinear systems. The problem of trajectory tracking is studied, based on the fractional order Lyapunov-Krasovskii and Lur’e theory that achieves the global asymptotic stability of the tracking error between a delayed recurrent neural network and a reference function is obtained. The method is illustrated for the synchronization, the analytic results we present a trajectory tracking simulation of a fractional order time-delay dynamical network and the Fractional Order Chua’s circuits
Keyword: Trajectory tracking,
Fractional order time-delay recurrent neural network,
Fractional order Lyapunov-Krasovskii and Lur’e analysis
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