| 模糊系统结构辨识综述 |
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| 引用本文： | 肖建,白裔峰,于龙.模糊系统结构辨识综述[J].西南交通大学学报,2006,41(2):135-142. |
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| 作者姓名： | 肖建 白裔峰 于龙 |
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| 作者单位： | 西南交通大学电气工程学院,四川,成都,610031 |
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| 基金项目： | 四川省应用基金研究项目（05JY029-006-4）;高等学校博士学科点专项科研基金（20040613013）; |
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| 摘 要： | 模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键．简要回顾了模糊系统结构辨识的研究现状与发展．讨论了模糊系统结构辨识一些常用的方法，如基于模糊聚类、自组织神经模糊网络、支持向量机、核函数、分层模糊系统、遗传算法和小波多分辨率分析等的模糊系统结构辨识．对各种结构辨识方法的特点进行了深入的分析，并对结构辨识未来的发展进行了展望．
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| 关 键 词： | 模糊系统 系统辨识 结构辨识 模糊聚类 |
| 文章编号： | 0258-2724（2006）02-0135-08 |
| 收稿时间： | 2005-12-26 |
| 修稿时间： | 2005-12-26 |
Overview of Fuzzy System Structure Identification |
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| XIAO Jian,BAI Yifeng,YU Long.Overview of Fuzzy System Structure Identification[J].Journal of Southwest Jiaotong University,2006,41(2):135-142. |
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| Authors: | XIAO Jian BAI Yifeng YU Long |
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| Institution: | School of Electric Eng., Southwest Jiaotong University, Chengdu 610031, China |
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| Abstract: | Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification. The state of art of fuzzy system structure identification was briefly reviewed. Widely used methods of fuzzy system structure identification were discussed, including those based on fuzzy clustering, self-organizing neural-fuzzy network, support vector machine, kernel function, hierarchical fuzzy system, genetic algorithm and multi-resolution analysis. The characteristics of the methods were analyzed in detail. Future research directions of fuzzy system structure identification were outlined. |
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| Keywords: | fuzzy system system identification structure identification fuzzy clustering |
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