Nonlinear Recurrent Neural Network Predictive Control for Energy Distribution of a Fuel Cell Powered Robot

@inproceedings{Chen2014NonlinearRN,
  title={Nonlinear Recurrent Neural Network Predictive Control for Energy Distribution of a Fuel Cell Powered Robot},
  author={Qihong Chen and Rong Long and Shuhai Quan and Liyan Zhang},
  booktitle={TheScientificWorldJournal},
  year={2014}
}
This paper presents a neural network predictive control strategy to optimize power distribution for a fuel cell/ultracapacitor hybrid power system of a robot. We model the nonlinear power system by employing time variant auto-regressive moving average with exogenous (ARMAX), and using recurrent neural network to represent the complicated coefficients of the ARMAX model. Because the dynamic of the system is viewed as operating- state- dependent time varying local linear behavior in this frame, a… CONTINUE READING
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Showing 1-10 of 25 references

Modeling and energy management control design for a fuel cell hybrid passenger bus

  • K. Simmons, Y.Guezennec, S.Onori
  • Journal of Power Sources, vol. 246, pp. 736–746…
  • 2014
1 Excerpt

Application of Pontryagin’s Minimal Principle to the energymanagement strategy of plugin fuel cell electric vehicles

  • L. Xu, M.Ouyang, J. Li, F. Yang
  • International Journal of Hydrogen Energy, vol. 24…
  • 2013

On-line nonlinear model predictive control of a PEM fuel cell system

  • C. Ziogou, S. Papadopoulou, C. M. Georgiadis, S. Voutetakis
  • Journal of Process Control, vol. 4, pp. 483–492…
  • 2013
1 Excerpt

Energymanagement strategy for fuel cell/battery/ultracapacitor hybrid vehicle based The Scientific World Journal 9 on fuzzy logic

  • Q. Li, W. Chen, Y. Li, S. Liu, J. Huang
  • International Journal of Electrical Power…
  • 2012

Real time optimal energy management strategy targeting at minimizing daily operation cost for a plug-in fuel cell city bus

  • L. Xu, F. Yang, J. Li, M. Ouyang, J. Hua
  • International Journal of Hydrogen Energy, vol. 20…
  • 2012

Constrained model predictive control of a solid oxide fuel cell based on genetic optimization

  • Y. Li, J. Shen, J. Lu
  • Journal of Power Sources, vol. 196, no. 14, pp…
  • 2011
1 Excerpt

Multiple model predictive control for a hybrid proton exchange membrane fuel cell system

  • Q. Chen, L. Gao, R. A. Dougal, S. Quan
  • Journal of Power Sources, vol. 191, no. 2, pp…
  • 2009
2 Excerpts

Nonlinear system modeling and predictive control using the RBF netsbased quasi-linear ARX model

  • H. Peng, J.Wu, G. Inoussa, Q. Deng, andK.Nakano
  • Control Engineering Practice, vol. 17, no. 1, pp…
  • 2009

Control strategy optimization of a fuel-cell electric vehicle

  • V. Paladini, T. Donateo, A. de Risi, D. Laforgia
  • Journal of Fuel Cell Science and Technology, vol…
  • 2008
1 Excerpt

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