Refinement and identification of fuzzy relational models

Author

Campello, Ricardo J G B ; Do Amaral, Wagner C.

Author_Institution

Fac. of Electr. & Comput. Eng., Campinas Univ., Brazil

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

651

Abstract

The paper is concerned with fuzzy relational model identification. Two methods are proposed to estimate the parameters of such models. The first one is an optimization based methodology which uses sequential procedures of quadratic programming to refine models previously estimated by other methods. From this methodology, a recursive algorithm is derived. This algorithm is suitable for online identification. Two examples care presented using classical dynamic systems to illustrate the performance of the proposed methods

Keywords

fuzzy set theory; matrix algebra; modelling; quadratic programming; recursive estimation; classical dynamic systems; fuzzy relational models; online identification; optimization based methodology; quadratic programming; recursive algorithm; sequential procedures; Electronic mail; Equations; Function approximation; Fuzzy control; Fuzzy sets; Optimization methods; Predictive models; Process control; Quadratic programming; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687565

Filename

687565