Computer aided tuning and validation of fuzzy systems

Author

Boscolo, A. ; Drius, F.

Author_Institution

ZELTRON spa, Campoformido, Italy

fYear

1992

fDate

8-12 Mar 1992

Firstpage

605

Lastpage

614

Abstract

A set of tools to support the design of fuzzy controllers is illustrated. The tools, based upon dedicated optimization algorithms, allow the tuning and the validation of the fuzzy models. A modified Monte Carlo method has been developed to define stochastic algorithms to complement the deterministic approach, because of the peculiar structure of the systems addressed. The authors show that the design tools are suitable for giving a consistent answer to the tuning needs of fuzzy control systems. During experiments the proposed algorithms have successfully lead to model optimization allowing the fulfilment of design requirements

Keywords

Monte Carlo methods; control system CAD; fuzzy control; Monte Carlo method; control system CAD; dedicated optimization algorithms; fuzzy controllers; fuzzy system tuning; fuzzy system validation; stochastic algorithms; Algorithm design and analysis; Computer science; Design optimization; Electrical equipment industry; Fuzzy control; Fuzzy sets; Fuzzy systems; Humans; Industrial control; Knowledge management; Stochastic processes; Stochastic systems; System testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1992., IEEE International Conference on

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0236-2

Type

conf

DOI

10.1109/FUZZY.1992.258731

Filename

258731