Bi-tree multi-stage inference fuzzy control system

Z. M. Yeh, H. P. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a methodology to the design of a binary tree multi-stage inference fuzzy. Controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the bi-tree multi-stage inference. This proposed method can be used to reduce the complexity of fuzzy rule sets. The new method has been applied to control a truck-and-two-trailer system. The simulation studies showed that the proposed method is feasible.

Original languageEnglish
Title of host publicationSoft Computing in Intelligent Systems and Information Processing
EditorsY.Y. Chen, K. Hirota, J.Y. Yen
PublisherIEEE
Pages55-60
Number of pages6
Publication statusPublished - 1996
EventProceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan
Duration: 1996 Dec 111996 Dec 14

Other

OtherProceedings of the 1996 Asian Fuzzy Systems Symposium
CityKenting, Taiwan
Period96/12/1196/12/14

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Yeh, Z. M., & Chen, H. P. (1996). Bi-tree multi-stage inference fuzzy control system. In Y. Y. Chen, K. Hirota, & J. Y. Yen (Eds.), Soft Computing in Intelligent Systems and Information Processing (pp. 55-60). IEEE.