| 计算智能方法优化设计模糊控制系统!现状与展望 |
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| 引用本文： | 罗熊,孙增圻.计算智能方法优化设计模糊控制系统!现状与展望[J].控制与决策,2007,22(9):961-966. |
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| 作者姓名： | 罗熊 孙增圻 |
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| 作者单位： | 1. 北京科技大学,信息工程学院,北京,100083;清华大学,计算机科学与技术系,北京,100084
2. 清华大学,计算机科学与技术系,北京,100084 |
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| 基金项目： | 国家自然科学基金项目（60604010,90405017）;国家973计划项目（2002CB312205）;中国博士后基金项目（2005038078）. |
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| 摘 要： | 计算智能方法优化模糊控制系统是近年来的研究热点，这里对此研究方向进行了综述．首先简要介绍了模糊控制；然后按使用计算智能方法的不同分成6大类，详尽分析了计算智能方法优化模糊控制系统的研究现状；最后对下一步的研究工作进行了展望．
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| 关 键 词： | 模糊控制系统 计算智能 优化设计 知识库 |
| 文章编号： | 1001-0920（2007）09-0961-06 |
| 收稿时间： | 2006-6-13 |
| 修稿时间： | 2006-06-132006-10-08 |
Status and development of optimal design for fuzzy control system based on computational intelligence algorithms |
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| LUO Xiong,SUN Zeng-qi.Status and development of optimal design for fuzzy control system based on computational intelligence algorithms[J].Control and Decision,2007,22(9):961-966. |
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| Authors: | LUO Xiong SUN Zeng-qi |
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| Affiliation: | 1. School of Information Engineering, University of Science and Technology Beijing, Beijing 100083, China; 2. Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China |
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| Abstract: | In recent years, optimal design for fuzzy control system based on computational intelligence algorithms is the hot spot in the research field. Firstly, the basic theory of fuzzy control is introduced. Then, the progress made in recent years is analyzed in detail, which is classified into six kinds according to computational intelligence algorithms used in the practical situation. Finally, the research directions in the future are proposed. |
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| Keywords: | Fuzzy control system Computational intelligence Optimal design Knowledge base |
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