Full design of fuzzy controllers using genetic algorithms

Abdollah Mahin Homaifar; Ed McCormick

doi:10.1117/12.130846

16 December 1992 Full design of fuzzy controllers using genetic algorithms

Abdollah Mahin Homaifar, Ed McCormick

Proceedings Volume 1766, Neural and Stochastic Methods in Image and Signal Processing; (1992) https://doi.org/10.1117/12.130846
Event: San Diego '92, 1992, San Diego, CA, United States

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.

Citation Download Citation

Abdollah Mahin Homaifar and Ed McCormick "Full design of fuzzy controllers using genetic algorithms", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); https://doi.org/10.1117/12.130846

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