publication . Article . Other literature type . 2015

Nonlinear Modeling of the PEMFC Based On NNARX Approach

Shan-Jen Cheng; Te-Jen Chang; Kuang-Hsiung Tan; Kuo, Shou-Ling;
Open Access English
  • Published: 03 May 2015
Abstract
Polymer Electrolyte Membrane Fuel Cell (PEMFC) is such a time-vary nonlinear dynamic system. The traditional linear modeling approach is hard to estimate structure correctly of PEMFC system. From this reason, this paper presents a nonlinear modeling of the PEMFC using Neural Network Auto-regressive model with eXogenous inputs (NNARX) approach. The multilayer perception (MLP) network is applied to evaluate the structure of the NNARX model of PEMFC. The validity and accuracy of NNARX model are tested by one step ahead relating output voltage to input current from measured experimental of PEMFC. The results show that the obtained nonlinear NNARX model can efficient...
Subjects
free text keywords: PEMFC, neural network, nonlinear identification, NNARX.
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Article . 2015
Provider: ZENODO
Zenodo
Other literature type . 2015
Provider: Datacite
Zenodo
Other literature type . 2015
Provider: Datacite
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publication . Article . Other literature type . 2015

Nonlinear Modeling of the PEMFC Based On NNARX Approach

Shan-Jen Cheng; Te-Jen Chang; Kuang-Hsiung Tan; Kuo, Shou-Ling;