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Proceedings Paper

Full design of fuzzy controllers using genetic algorithms
Author(s): Abdollah Mahin Homaifar; Ed McCormick
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Paper Abstract

This paper examines the applicability of genetic algorithms in the complete design of fuzzy logic controllers. While GA has been used before in the development of rule sets or high performance membership functions, the interdependence between these two components dictates that they should be designed together simultaneously. GA is fully capable of creating complete fuzzy controllers given the equations of motion of the system, eliminating the need for human input in the design loop. We show the application of this new method to the development of a cart controller.

Paper Details

Date Published: 16 December 1992
PDF: 12 pages
Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130846
Show Author Affiliations
Abdollah Mahin Homaifar, North Carolina Agricultural and Technical State Univ. (United States)
Ed McCormick, North Carolina Agricultural and Technical State Univ. (United States)


Published in SPIE Proceedings Vol. 1766:
Neural and Stochastic Methods in Image and Signal Processing
Su-Shing Chen, Editor(s)

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