Full design of fuzzy controllers using genetic algorithmsThis 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.
Document ID
19930048913
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Homaifar, Abdollah (NASA Headquarters Washington, DC United States)
Mccormick, ED (NASA Center for Research Excellence; North Carolina Agricultural and Technical State Univ. Greensboro, United States)
Date Acquired
August 16, 2013
Publication Date
January 1, 1992
Publication Information
Publication: In: Neural and stochastic methods in image and signal processing; Proceedings of the Meeting, San Diego, CA, July 20-23, 1992 (A93-32905 12-63)
Publisher: Society of Photo-Optical Instrumentation Engineers