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
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;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552290
