Extended and Unscented Kalman Filters for Artificial Neural Network Modelling of a Nonlinear Dynamical System

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Extended and Unscented Kalman Filters for Artificial Neural Network Modelling of a Nonlinear Dynamical System

Recently, artificial neural networks, especially feedforward neural networks, have been widely used for the identification and control of nonlinear dynamical systems. However, the determination of a suitable set of structural and learning parameter value of the feedforward neural networks still rema...

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Bibliographic Details
Main Author:	Saptoro, Agus
Format:	Journal Article
Published:	Springer Link 2012
Online Access:	http://hdl.handle.net/20.500.11937/45184

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