• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 19 Issue 2
Apr.  2006
Turn off MathJax
Article Contents
XIAO Jian, BAI Yifeng, YU Long. Overview of Fuzzy System Structure Identification[J]. Journal of Southwest Jiaotong University, 2006, 19(2): 135-142.
Citation: XIAO Jian, BAI Yifeng, YU Long. Overview of Fuzzy System Structure Identification[J]. Journal of Southwest Jiaotong University, 2006, 19(2): 135-142.

Overview of Fuzzy System Structure Identification

  • Received Date: 26 Dec 2005
  • Publish Date: 25 Apr 2006
  • 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.

     

  • loading
  • SUGENO M,KANG G.Structure identification of fuzzy model[J].Fuzzy Sets and Systems,1988,28(1):15-33.[2] SUGENO M,YASUKAWA T.A fuzzy-logic-based approach to qualitative modeling[J].IEEE Transactions on Fuzzy Systems,1993,1(1):7-31.[3] CHIU S.Fuzzy model identification based on cluster estimation[J].Journal of Intelligent and Fuzzy Systems,1994,2 (3):267 -278.[4] HADJILI M L,WERTZ V.Taagi-Sugeno fuzzy modeling incorporating input variables selection[J].IEEE Transactions on Fuzzy Systems,2002,10(6):728-742.[5] 杨红卫,李柠,侍洪波.基于减法聚类产生具有优化规则的模糊神经网络及其软测量建模[J].华东理工大学学报,2004,30(6):694-697.YANG Hongwei,LINing,SHI Hongbo.Generating fuzzy-neural networks with optimal fuzzy rules based on subtractive clustering with application to soft sensor modeling[J].Journal of East China University of Science and Technology,2004,30(6):694-697.[6] BABUSKA R.Fuzzy modeling for control[M].Boston:Kluwer Academic Publishers,1998.[7] ABONYI J,BABUSKA R,SZEIFERT F.Modified Gath-Geva fuzzy clustering for Identification of Takagi-Sugeno fuzzy models[J].IEEE Transactions on Systems,Man,and Cybernetics:Part B:Cybernetics,2002,32(5):612-621.[8] HOPPNER F,KLAWONN F.Fuzzy cluster analysis[M].New York:John Wiley Sons,Ltd,1999.[9] LINKENS D A,CHEN Minyou.Input selection and partition validation for fuzzy modelling using neural network[J].Fuzzy Sets and Systems,1999,107(3):299-308.[10] IYATOMI H,HAGIWARA M.Adaptive fuzzy inference neural network[J].Pattern Recognition,2004,37 (10):2049-2057.[11] 夏靖波,杨晓铁,王师.模糊神经网络两相流流型辨识算法的研究[J].控制与决策,1999,14(增刊):531-535.XIA Jingbo,YANG Xiaotie,WANG Shi.Flow pattern identification based on fuzzy neural network in two phase flow[J].Control and Decision,1999,14(Suppl):531-535.[12] KUKOLJ D,LEVI E.Identification of complex systems based on neural and Takagi-Sugeno fuzzy model[J].IEEE Transactions on Systems,Man,and Cybernetics:Part B:Cybernetics,2004,34(1):272-282.[13] SU Muchun,LAI E,TEW C Y.A SOM-based fuzzy system and its application in handwritten digit recognition[C] //Proceedings of International Symposium on Multimedia Software Engineering.Taipei:IEEE Comput Soc.,2000:253-258.[14] CARPENTER G,GROSSBERG S,MAUKUZON N,et al.Fuzzy ART:fast stable learning and categorization of analog patterns by an adaptive resonance system[J].Nerual Networks,1991,4:757-764.[15] TZAFESTAS S G,ZIKIDIS K C.Neuro FAST:on-line neuro-fuzzy ART-based structure and parameter learning TSK model[J].IEEE Transactions on Systems,Man,and Cybernetics:Part B:Cybernetics,2001,31(5):797-802.[16] CHEN Yixin,WANG J Z.Support vector learning for fuzzy rule-based classification systems[J].IEEE Transactions on Fuzzy Systems,2003,11(6):716-728.[17] CHIANG J H,Hao Peiyi.A new kernel-based fuzzy clustering approach:support vector clustering with cell growing[J].IEEE Transactions on Fuzzy Systems,2003,11 (4):518-527.[18] KAIEDA K,ABE S.A kernel fuzzy classifier with ellipsoidal regions[C] //Proceedings of the International Joint Conference on Neural Networks.Portland:Institute of Electrical and Electronics Engineers Inc,2003:2043-2048.[19] WANG Lixin.Universal approximator by hierarchical fuzzy systems[J].Fuzzy Sets and Systems,1998,93 (2):223-230.[20] 孙多青,霍伟.基于分层模糊系统的直接自适应控制[J].控制与决策,2002,17(4):465-472.SUN Duoqing,HUO Wei.Direct adaptive control based on hierarchical fuzzy systems[J].Control and Decision,2002,17(4):465-472.[21] 孙多青,霍伟,杨枭.含模型不确定性移动机器人路径跟踪的分层模糊控制[J].控制理论与应用,2004,21(4):489-494.SUN Duoqing,HUO Wei,YANG Xiao.Path following control of mobile robots with model uncertaintybaeed on hierarchical fuzzy systems[J].Control Theory and Applications,2004,21 (4):489-494.[22] LEE Mingling,CHUNG Hungyuan,YU Fangming.Modeling of hierarchical fuzzy systems[J].Fuzzy Sets and Systems,2003,138(2):343-361.[23] GABRIEL T R,BERTHOLD M R.Formation of hierarchical fuzzy rule systems[C] //Proc.of 22nd International Conference of the North American Fuzzy Information.Chicago:IEEE Press,2003:87-92.[24] CAMARGO H A,PIRES M G,CASTRO P A D.Genetic design of fuzzy knowledge bases-a study of different approaches[C] //Proc.NAFIPS'04 IEEE Annual Meeting of the Fuzzy Information[C].Alberta:IEEE Press,2004,2:954-959.[25] CASILLAS J,CORDON O,del JESUS M J.Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction[J].IEEE Transactions on Fuzzy Systems,2005,13(1):13-29.[26] 李合生,毛剑琴,代冀阳.基于遗传算法的广义Takagi-Sugeno模糊逻辑系统最优参数辨识[J].自动化学报,2002,28(4):581-586.LI Hesheng,MAO Jianqin,DAI Jiyang.Generalized Takagi-Sugeno fuzzy logical system optimal parameter identification based on genetic algorithm[J].Acta Automatica Sinica,2002,28(4):581-586.[27] SMITH S F.A learning system based on genetic adaptive algorithms[D].Doctoral dissertation.Pittsburgh:University of Pittsburgh,1980.[28] HOLLAND J H,REITMAN J S.Cognitive systems based on adaptive algorithms[M].In:Waterman D A,Hayes-Roth F eds,Pattern-Directed Inference Systems.New York:Academic Press,1978.[29] VENTURINI G.SIA:a supervised inductive algorithm with genetic search for learning attribute based concepts[C] //proc.European Conference on Machine Learning.Viena:Springer-Verlag,1993:280-296.[30] BELIGIANNIS G N,SKARLAS L V,LIKOTHANASSIS S D.Nonlinear model structure identification of complex biomedical data using a genetic programming based technique[J].IEEE Transactions on Instrumentation and Measurement,2005,54(6):2184-2190.[31] TANG Yongchuan,HUANG Tianmin.The driven genetic selection mechanism[C] //2000 IEEE International Conference on Systems,Man,and Cybernetics.Nashville:IEEE Press,2000(5):3873-3876.[32] LIN Yinghua,GEORGE A C.A new approach to fuzzy-neursl system modeling.IEEE Transactions on Fuzzy Systems[J].1995,3(2):190-198.[33] 王辉,肖建.基于多分辨率分析的T-S模糊系统研究[J].控制理论与应用,2005,22(2):325-329.WANG Hui,XIAO Jian.T-S fuzzy system based on multi-resolution analysis[J].Control Theory Applications,2005,22(2):325-329.[34] 王辉,肖建.基于多分辨率的模糊系统的函数逼近性分析[J].西南交通大学学报,2004,39(1):26-30.WANG Hui,XIAO Jian.Approximation capability of fuzzy system based on multi-resolution analysis[J].Journal of Southwest Jiaotong University,2004,39(1):26-30.[35] WANG Jun,PENG Hong,XIAO Jian.Position control for PM synchronous motor using fuzzy neural network[C] //Proc.of 2nd International Symposium on Neural Networks.Heidelberg:Springer Verlag,2005,3498(Ⅲ):179-184.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views(1496) PDF downloads(552) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return