DocumentCode
304033
Title
Fuzzy modelling and identification of multilinear dynamical systems
Author
Sciascio, Fernando Di ; Carelli, Ricardo
Author_Institution
Inst. de Autom., Univ. Nacional de San Juan, Argentina
Volume
2
fYear
1996
fDate
8-11 Sep 1996
Firstpage
848
Abstract
In this paper, the exact representation of multilinear functions by means of fuzzy systems with the fewest number of fuzzy rules is proved, and applications for modelling and identification of bilinear systems are given
Keywords
MIMO systems; bilinear systems; function approximation; fuzzy set theory; fuzzy systems; identification; modelling; polynomials; bilinear systems; fuzzy modelling; fuzzy rules; identification; multilinear dynamical systems; multilinear functions; Context modeling; Convergence; Fuzzy sets; Fuzzy systems; Input variables; MIMO; Nonlinear dynamical systems; Nonlinear systems; Polynomials; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552290
Filename
552290
Link To Document