Real-time Discrete Nonlinear Identification via Recurrent High Order Neural Networks
This paper deals with the discrete-time nonlinear system identification via Recurrent High Order Neural Networks, trained with an extended Kalman filter (EKF) based algorithm. The paper also includes the respective stability analysis on the basis of the Lyapunov approach for the whole scheme. Applic...
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| Publicat a: | Computación y Sistemas |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Instituto Politécnico Nacional
2010
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| Matèries: | |
| Accés en línia: | https://www.redalyc.org/articulo.oa?id=61519184007 |
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