Internal model control using modularly structured B-spline networks

Author

Menken, Gerd J.

Author_Institution

Inst. of Autom. Technol., Univ. of Bremen, Bremen, Germany

fYear

1997

fDate

1-7 July 1997

Firstpage

967

Lastpage

972

Abstract

A method is introduced here to weaken the problems arising when a complex nonlinear process has to be controlled. The proposed method is based on the use of Modularity structured B spline Networks (MBSN) which are integrated in an Internal Model Control (IMC) structure. It is shown that the networks are suitable for this control strategy due to their simple mathematical description allowing model inversion in an easy way. An example is given to illustrate the advantages over other neural based methods using separate networks considered as controllers which have to be trained additionally to the process modelling network.

Keywords

intelligent control; nonlinear control systems; splines (mathematics); IMC structure; MBSN; complex nonlinear process; control strategy; internal model control; mathematical description; model inversion; modularity structured B spline networks; modularly structured B-spline networks; neural based methods; process modelling network; Adaptation models; Control systems; Frequency modulation; Mathematical model; Neural networks; Process control; Splines (mathematics); B Splines; IMC; Intelligent Control; Neural Networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1997 European

Conference_Location

Brussels

Print_ISBN

978-3-9524269-0-6

Type

conf

Filename

7082223