摘要 : To improve the performance of fuel cells, the operating temperature of molten carbonate fuel cell (MCFC) stack should be controlled within a specified range. In this paper, with the RBF neural network's ability of identifying comp... 展开
作者 | 戚志东 朱新坚 曹广益 |
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作者单位 | |
英文名称 | Nonlinear modeling of molten carbonate fuel cell stack and FGA-based fuzzy control |
期刊名称 | 《上海大学学报(英文版)》 |
期刊英文名称 | 《Journal of Shanghai University(English Edition)》 |
页码/总页数 | 144-150 / 7 |
语种/中图分类号 | 汉语 / TM712 |
关键词 | molten carbonate fuel cell (MCFC) neural network genetic algorithm fuzzy genetic algorithms (FGA) |
基金项目 | Project supported by National High-Technology Research and Development Program (Grant No. 2002AA517020) |
机标主题词 / 分类号 | 燃料电池;模糊控制;非线性建模 / TM911.4;TP13;TP391.92 |