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基于模糊集相容性的模糊控制规则优化方法 被引量:4

Method of Optimizing Fuzzy Control Rules Based on Compatibility of Fuzzy Subsets
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摘要 在简要介绍模糊模型的完备性和相容性的基础上 ,根据模糊集贴近度 ,提出模糊集相容性的概念 ;通过对模糊控制规则表特征的分析 ,进一步完善规则相容性概念及其定量评价方法 ;最后给出模糊控制规则模型自寻优优化方法。仿真结果表明 ,该方法可以大大提高控制系统的控制性能。 According to the approaching degree of the fuzzy subsets, the concept of the compatibility of the fuzzy subsets has been put forward based on having introduced simply the maturity performance and compatibility of the fuzzy model. The concept of the compatibility of the control rules and its evaluating method in quantity have been further perfected by having analyzed the characteristics of the fuzzy control rule table. The self-optimizing method of the fuzzy control rule model has been presented finally. The simulation results show that the method of the optimizing fuzzy control rules based on the compatibility of fuzzy subsets is capable of improving the performance of the fuzzy control greatly
出处 《模糊系统与数学》 CSCD 2002年第4期81-88,共8页 Fuzzy Systems and Mathematics
基金 国家自然科学基金资助项目 (5 990 80 0 1) 中国博士后科学基金资助项目 (L RZ990 0 4) 哈尔滨工业大学跨学科交叉性研究基金资助项目 (HIT.MD2 0 0 0 30 )
关键词 模糊控制规则 完备性 相容性 贴近度 模型优化 Fuzzy Control Rule Maturity Performance Compatibility Approaching Degree Model Optimization
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参考文献4

  • 1李洪兴.模糊控制的插值机理[J].中国科学(E辑),1998,28(3):259-267. 被引量:252
  • 2Wang P Z,Lou S B. The responsibility of a fuzzy controller[A]. Control science and technology for the progress of society(Vol.2)[C]. Pergamon Press,1982.
  • 3Zadeh L A. Fuzzy sets[J]. Inform.And Control,1965,8:338~353.
  • 4张吉礼.模糊控制理论研究与智能控制空调机组的开发[D].哈尔滨:哈尔滨工业大学,2001.

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