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Predictive control of proton exchange membrane fuel cell (PEMFC) based on support vector regression machine

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3 Author(s)
Yuan Ren ; Dept. of Autom., Shanghai Jiaotong Univ., China ; Guang-Yi Cao ; Xin-Jian Zhu

A new method of the predictive control for proton exchange membrane fuel cell (PEMFC) based on support vector regression machine is presented and the support vector regression machine is constructed. The process plant is modeled on SVRM. The predictive control law is obtained by using the particle swarm optimization (PSO).The simulation and the results show that the support vector regression machine and the PSO receding optimization applied to the PEMFC predictive control have good performance.

Published in:

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on  (Volume:7 )

Date of Conference:

18-21 Aug. 2005