Title :
Approximation of nonlinear systems by dynamic selection of linear models
Author_Institution :
Telecommun. Res. Labs., Winnipeg, Man., Canada
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;
Conference_Titel :
Electrical and Computer Engineering, 1996. Canadian Conference on
Conference_Location :
Calgary, Alta.
Print_ISBN :
0-7803-3143-5
DOI :
10.1109/CCECE.1996.548089
