Title :
From fuzzy linguistic specifications to fuzzy controllers using evolution strategies
Author :
Bolata, Frank ; Nowé, Ann
Author_Institution :
Vrije Univ., Brussels, Belgium
Abstract :
Fuzzy controllers commence to take an important place as a modern technique in the present-day control world but the lack of a general methodology for the parameter tuning of fuzzy controllers is a major drawback to a more widespread use of this control technique. In this paper we propose an approach to synthesise fuzzy controllers by means of linguistic specifications using evolution strategies. The major issue of the approach is that the linguistic controller performance criteria can now be easily and straightforwardly implemented, avoiding hard to design cost functionals that are usually used
Keywords :
control system synthesis; fuzzy control; genetic algorithms; evolution strategies; fuzzy controller synthesis; fuzzy linguistic specifications; linguistic controller performance criteria; parameter tuning; Cost function; Evolutionary computation; Fuzzy control; Fuzzy sets; Genetic algorithms; Genetic programming; Niobium; Optimal control; Three-term control; Zirconium;
Conference_Titel :
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location :
Yokohama
Print_ISBN :
0-7803-2461-7
DOI :
10.1109/FUZZY.1995.409819