Fuzzy switched hybrid systems-modeling and identification

Author

Palm, Rainer ; Driankov, Dimiter

Author_Institution

Inf. & Commun., Siemens AG, Munich, Germany

fYear

1998

fDate

14-17 Sep 1998

Firstpage

130

Lastpage

135

Abstract

The combination of hybrid systems and fuzzy multiple model systems is described. Further, a hierarchical identification of the resulting fuzzy switched hybrid system is outlined. The behavior of the discrete component is identified by black box fuzzy clustering and subsequent parameter identification taking into account some prior-knowledge about the discrete states. The identification of the continuous models for each discrete state is done based on local linear fuzzy models

Keywords

fuzzy control; fuzzy systems; intelligent control; parameter estimation; pattern clustering; black box fuzzy clustering; discrete states; fuzzy multiple model systems; fuzzy switched hybrid systems; hierarchical identification; local linear fuzzy models; parameter identification; Communication switching; Communications technology; Computer science; Control system synthesis; Fuzzy control; Fuzzy systems; Nonlinear dynamical systems; Nonlinear systems; Parameter estimation; Radial basis function networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control (ISIC), 1998. Held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA), Intelligent Systems and Semiotics (ISAS), Proceedings

Conference_Location

Gaithersburg, MD

ISSN

2158-9860

Print_ISBN

0-7803-4423-5

Type

conf

DOI

10.1109/ISIC.1998.713648

Filename

713648