Title :
On designing fuzzy controllers using genetic algorithms
Author :
Tan, Gregory V. ; Hu, Xiheng
Author_Institution :
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
Abstract :
The design of fuzzy controllers using the genetic algorithm appears as a systematic method by which fuzzy controllers are designed. This method easily provides an optimised design and forms the framework for further progress. This paper investigates the impact of this method on the resulting design and attempts to provide an idea of what costs have been paid in achieving an optimised design with minimal difficulty. It also makes some suggestions at what steps could be taken to reduce the cost
Keywords :
control system CAD; control system synthesis; fuzzy control; fuzzy logic; genetic algorithms; automatic design; control design; fuzzy control; fuzzy logic; genetic algorithms; inverted pendulum; Algorithm design and analysis; Automatic control; Control systems; Design methodology; Design optimization; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic algorithms; Hybrid intelligent systems;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552299
