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Proceedings Paper

Adaptive fuzzy logic tracking controller
Author(s): Jatinder S. Bedi; Yeongseob Kueon
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Paper Abstract

The membership functions are the critical factors of the system performance for fuzzy logic control. The degree of membership is determined by a membership function, which is defined based on experience or intuition of engineers. In general, it is accepted that membership functions changes several times as the system is tuned to achieve desired responses to given inputs. Once the system is in operation, the membership functions do not change. So the membership functions must be tuned properly to obtain the desired system performance. In this paper, we propose the technique to overcome the tuning difficulties of membership functions by trial and error method. This technique has been applied to the system with parameter uncertainties to investigate the performance.

Paper Details

Date Published: 13 June 1995
PDF: 10 pages
Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); doi: 10.1117/12.211806
Show Author Affiliations
Jatinder S. Bedi, Wayne State Univ. (United States)
Yeongseob Kueon, Wayne State Univ. (United States)

Published in SPIE Proceedings Vol. 2493:
Applications of Fuzzy Logic Technology II
Bruno Bosacchi; James C. Bezdek, Editor(s)

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