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Design of Tree Architecture of Fuzzy Controller based on Genetic Optimization
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  • Design of Tree Architecture of Fuzzy Controller based on Genetic Optimization
  • Design of Tree Architecture of Fuzzy Controller based on Genetic Optimization
저자명
Han. Chang-Wook,Oh. Se-Jin
간행물명
信號處理·시스템學會 論文誌
권/호정보
2010년|11권 3호|pp.250-254 (5 pages)
발행정보
한국신호처리시스템학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

As the number of input and fuzzy set of a fuzzy system increase, the size of the rule base increases exponentially and becomes unmanageable (curse of dimensionality). In this paper, tree architectures of fuzzy controller (TAFC) is proposed to overcome the curse of dimensionality problem occurring in the design of fuzzy controller. TAFC is constructed with the aid of AND and OR fuzzy neurons. TAFC can guarantee reduced size of rule base with reasonable performance. For the development of TAFC, genetic algorithm constructs the binary tree structure by optimally selecting the nodes and leaves, and then random signal-based learning further refines the binary connections (two-step optimization). An inverted pendulum system is considered to verify the effectiveness of the proposed method by simulation.