Trajectory Tracking of Complex Dynamical Network for Chaos Synchronization Using Recurrent Neural 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 anal...
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| Vydáno v: | Computación y Sistemas |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Instituto Politécnico Nacional
2017
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| Témata: | |
| On-line přístup: | https://www.redalyc.org/articulo.oa?id=61552758009 |
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