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Proceedings Paper

Optimal self-tuning fuzzy controller
Author(s): Syed Ali Akbar; Ramon Parra-Loera
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Paper Abstract

Design of a fuzzy controller requires specification of both membership functions and decision rules. Specification of membership function for a fuzzy logic controller has been an important issue. The traditional way of selecting membership functions has been, in most cases, an ad hoc procedure. In this paper, an optimization algorithm based on simulated annealing for designing a fuzzy membership function for fuzzy controllers is introduced. An optimization algorithm for designing the membership functions and fuzzy rule base for a fuzzy controller is presented. To demonstrate the method, a fuzzy controller for the truck backup problem is designed and implemented using this procedure.

Paper Details

Date Published: 22 December 1995
PDF: 8 pages
Proc. SPIE 2595, Machine Tool, In-Line, and Robot Sensors and Controls, (22 December 1995); doi: 10.1117/12.228845
Show Author Affiliations
Syed Ali Akbar, New Mexico State Univ. (United States)
Ramon Parra-Loera, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 2595:
Machine Tool, In-Line, and Robot Sensors and Controls
George D. Foret; Kam C. Lau; Bartholomew O. Nnaji, Editor(s)

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