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Title page for etd-0813109-184531


URN etd-0813109-184531 Statistics This thesis had been viewed 2127 times. Download 4 times.
Author Wei-yin Chen
Author's Email Address No Public.
Department Electrical Engineering
Year 2008 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 65
Title FUZZY BILINEAR MODEL IDENTIFICATION WITH CLUSTER VALIDITY CRITERIA AND ITS APPLICATIONS
Keyword
  • cluster validity criteria
  • fuzzy bilinear
  • fuzzy bilinear
  • cluster validity criteria
  • Abstract In this thesis, our objective is to use T-S fuzzy bilinear model to describe nonlinear system with high accuracy and as fewer IF-THEN rules as possible via input and output data which collect from original nonlinear system. The modeling process will use fuzzy clustering algorithm for bilinear models, identification of bilinear models, cluster validity criteria for bilinear models, and fuzzy bilinear modeling algorithm. Hence, we will modify the FCRM clustering algorithm to suit to bilinear modes, choose an identification method for clustering algorithm, propose a cluster validity criteria for bilinear to choose an appropriate number of cluster, and use fuzzy bilinear modeling algorithm to construct a fuzzy bilinear model which is approximate to original nonlinear system by as fewer fuzzy IF-THEN rules as possible. Finally, the simulation example is provided to demonstrate the accuracy of fuzzy bilinear modeling algorithm.
    Advisor Committee
  • Chung-chun Kung - advisor
  • Files indicate not accessible
    Date of Defense 2009-07-17 Date of Submission 2009-08-13


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