An Approach to Fuzzy Modeling and Control of Nonlinear Systems

비선형 시스템의 퍼지 모델링 및 제어

  • Lee, Chul-Heui (Dept. of Electrical Eng., Kangwon National University) ;
  • Ha, Young-Ki (Dept. of Electrical Eng., Kangwon National University) ;
  • Seo, Seon-Hak (Dept. of Electrical Eng., Kangwon National University)
  • 이철희 (강원대학교 공과대학 전기공학과) ;
  • 하영기 (강원대학교 공과대학 전기공학과) ;
  • 서선학 (강원대학교 공과대학 전기공학과)
  • Published : 1997.07.21

Abstract

In this paper, a new approach to modeling and control of nonlinear systems using fuzzy theory is presented. To express the various and complex behavior of nonlinear system, we combine multiple model method with hierachical prioritized structure. The mountain clustering technique is used in partitioning of system, and TSK rule structure is adopted to form the fuzzy rules. Also we soften the paradigm of Mamdani's inference mechanism by using Yager's S-OWA operators.

Keywords