DocumentCode
303033
Title
Approximation of nonlinear systems by dynamic selection of linear models
Author
Rueda, A.
Author_Institution
Telecommun. Res. Labs., Winnipeg, Man., Canada
Volume
1
fYear
1996
fDate
26-29 May 1996
Firstpage
270
Abstract
The problem of approximation of a class of nonlinear systems is studied in this paper. An architecture is presented which uses qualitative information to coordinate a number of local models. The coordinator is based on a logic processor (Pedrycz, 1992). An analytical study of the resulting time-varying architecture and simulations are included
Keywords
fuzzy control; fuzzy set theory; modelling; nonlinear control systems; stability; time-varying systems; fuzzy set theory; fuzzy systems; linear model dynamic selection; local model coordination; logic processor; nonlinear control; nonlinear systems approximation; qualitative information; simulations; stability; time-varying architecture; Analytical models; Bismuth; Distributed control; Ear; Fuzzy sets; Fuzzy systems; Linear approximation; Logic; Nonlinear systems; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location
Calgary, Alta.
ISSN
0840-7789
Print_ISBN
0-7803-3143-5
Type
conf
DOI
10.1109/CCECE.1996.548089
Filename
548089
Link To Document