Title :
A comparison of an expert and an adaptive fuzzy control approach
Author :
Jamshidi, M. ; Baugh, S. ; Barak, D. ; Vadiee, N.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
Abstract :
A comparative study of a classical expert system and an adaptive fuzzy expert control system for an inverted pendulum is presented. Specifically, three controllers are compared: constant gain, expert controller, and an adaptive fuzzy expert controller. The comparative study was done by means of computer simulation through the Matlab and Togai InfraLogic´s Fuzzy-C software programs. It is seen that the fuzzy expert controller provides much better performance than the regular expert system
Keywords :
adaptive control; control system analysis computing; expert systems; fuzzy control; Matlab; Togai InfraLogic´s Fuzzy-C software programs; adaptive fuzzy expert control system; classical expert system; constant gain; inverted pendulum; Adaptive control; Adaptive systems; Artificial intelligence; Computer simulation; Control systems; Expert systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Hybrid intelligent systems; Programmable control; Space technology;
Conference_Titel :
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location :
Brighton
Print_ISBN :
0-7803-0450-0
DOI :
10.1109/CDC.1991.261747
