@article{(Open Science Index):https://publications.waset.org/pdf/5554,
	  title     = {A Predictive control based on Neural Network for Proton Exchange Membrane Fuel Cell},
	  author    = {M. Sedighizadeh and  M. Rezaei and  V. Najmi},
	  country	= {},
	  institution	= {},
	  abstract     = {The Proton Exchange Membrane Fuel Cell (PEMFC)
control system has an important effect on operation of cell.
Traditional controllers couldn-t lead to acceptable responses because
of time- change, long- hysteresis, uncertainty, strong- coupling and
nonlinear characteristics of PEMFCs, so an intelligent or adaptive
controller is needed. In this paper a neural network predictive
controller have been designed to control the voltage of at the
presence of fluctuations of temperature. The results of
implementation of this designed NN Predictive controller on a
dynamic electrochemical model of a small size 5 KW, PEM fuel cell
have been simulated by MATLAB/SIMULINK.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {5},
	  number    = {2},
	  year      = {2011},
	  pages     = {188 - 192},
	  ee        = {https://publications.waset.org/pdf/5554},
	  url   	= {https://publications.waset.org/vol/50},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 50, 2011},