| 引用本文: | 顾佳晨,万百五,管晓宏.具有模糊参数的大工业过程的混合协调法[J].控制理论与应用,2002,19(5):763~766.[点击复制] |
| GU Jia-chen,WAN Bai-wu,GUAN Xiao-hong.Mixed method of coordination for large-scale industrial processes with fuzzy parameters[J].Control Theory and Technology,2002,19(5):763~766.[点击复制] |
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| 具有模糊参数的大工业过程的混合协调法 |
| Mixed method of coordination for large-scale industrial processes with fuzzy parameters |
| 摘要点击 1263 全文点击 1028 投稿时间：2000-06-30 修订日期：2001-05-31 |
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| DOI编号 |
| 2002,19(5):763-766 |
| 中文关键词 大工业过程 混合协调法 模糊数 |
| 英文关键词 large-scale industrial processes mixed method fuzzy numbers |
| 基金项目 国家自然科学基金(59937150)重点资助项目. |
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| 中文摘要 |
| 在研究大工业过程的递阶优化控制算法时, 针对模型-实际差异问题, 将子过程的数学模型中的系数处理为模糊数, 提出了基于模糊模型的大工业过程的稳态混合协调算法. 研究了两种具有模糊参数的混合算法: 开环的和有全局反馈的混合协调算法. 与基于精确系数模型的混合算法相比基于模糊模型的混合算法收敛更快, 目标函数更好. |
| 英文摘要 |
| The model coefficients of large-scale industrial processes are regarded as fuzzy numbers due to the model-reality difference. A new mixed method of coordination based on fuzzy model is proposed in this paper to solve the problem of model-reality difference. The mixed method and the mixed method with global feedback are studied in this paper. Simulation results show that the methods proposed in this paper provide a considerably less number of iterations and a better objective function than that provided by the methods based on crisp model. |
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