A new algorithm of fuzzy on-line identification for nonlinear systems

Author

Liu, Fucai ; Pei, Run ; Guan, Xinping

Author_Institution

Dept. of Control Sci. & Eng., Harbin Inst. of Technol., China

Volume

1

fYear

2002

fDate

2002

Firstpage

103

Abstract

A new fuzzy on-line identification algorithm for a nonlinear dynamic system is presented. This method combines the conventional on-line identification with fuzzy logic system. The nonlinear system is approximated by a set of fuzzy rules that describe the local linear dynamic in each subspace formed by fuzzifying the input and output space. The fuzzy space of input variables is partitioned by means of diagonal ANFIS method, the consequent parameters of the fuzzy rules are identified by means of weighted recursive least squares algorithm (WRLSA). The simulation results demonstrate that the proposed method is practical and efficient.

Keywords

fuzzy logic; fuzzy set theory; identification; least squares approximations; nonlinear dynamical systems; online operation; LSA; WRLSA; diagonal ANFIS method; fuzzy logic system; fuzzy online identification; local linear dynamic; nonlinear dynamic system; weighted recursive least squares algorithm; Automation; Cities and towns; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Input variables; Nonlinear dynamical systems; Nonlinear systems; Partitioning algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1022076

Filename

1022076