An evolutionary algorithm for fuzzy controller synthesis and optimization

Author

Tettamanzi, Andrea G B

Author_Institution

Dipartimento di Sci. dell´´Inf., Milan Univ., Italy

Volume

5

fYear

1995

fDate

22-25 Oct 1995

Firstpage

4021

Abstract

This paper illustrates an evolutionary algorithm for the automatic synthesis and optimization of fuzzy controllers for the weight associative rule processor (WARP) manufactured by SGS-Thomson Microelectronics. The philosophy of this work was to exploit the full potential of such a processor rather than use very simple membership functions and rule structures to reduce the number of degrees of freedom in the search. Details of the algorithm implementation and a discussion of experimental results obtained for the ball-and-beam problem are given

Keywords

associative processing; control system synthesis; fuzzy control; microcontrollers; optimal control; SGS-Thomson Microelectronics; WARP; ball-and-beam problem; controller optimization; evolutionary algorithm; fuzzy controller synthesis; membership functions; rule structures; weight associative rule processor; Automatic control; Evolutionary computation; Fuzzy control; Genetic algorithms; Genetic mutations; Genetic programming; Microelectronics; Optimization methods; Shape; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-2559-1

Type

conf

DOI

10.1109/ICSMC.1995.538419

Filename

538419