JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
Online ISSN : 1881-1299
Print ISSN : 0021-9592
Process Systems Engineering and Safety
Nonlinear Dynamic Modeling of Fuel Cell Systems Using Wavelet Network-Based Hammerstein Models
Wei WuHsiao-Tung YangDa-Wei Jhao
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2013 Volume 46 Issue 9 Pages 625-630

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Abstract

A control-oriented multivariable Hammerstein model is used to identify the strongly nonlinear dynamics of fuel cell systems that are described by nonlinear differential or differential-algebraic equations. Within the Hammerstein model framework, the static nonlinear part is constructed by a wavelet network, and the linear dynamic part is described by a discrete-time transfer function of the state-space model. For prescribed input-output patterns for high-order fuel cell systems, simulations demonstrate the accuracy of system identification using wavelet networks in the Hammerstein structure that is better than that in the neural network structure.

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© 2013 The Society of Chemical Engineers, Japan
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