Recurrent Neural Adaptive Control of Nonlinear Oscillatory Systems Using a Complex-valued Levenberg-Marquardt Learning Algorithm

In this work, a Recursive Levenberg-Marquardt learning algorithm in the complex domain is developed and applied in the training of two adaptive control schemes composed by Complex-Valued Recurrent Neural Networks. Furthermore, we apply the identification and both control schemes for a particular cas...

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Veröffentlicht in:	Information technologies and control 2015-06, Vol.13 (1), p.10-24
Hauptverfasser:	Baruch, Ieroham, Reynaud, Edmundo P.
Format:	Artikel
Sprache:	eng
Schlagworte:	complex-valued neural network Levenberg-Marquardt learning Neural adaptive control nonlinear oscillatory systems
Online-Zugang:	Volltext
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