DocumentCode
2468896
Title
Identification of time-varying bilinear systems
Author
Meddeb, S. ; Tourneret, J.Y. ; Castanie, F.
Author_Institution
GAPSE, ENSEEIHT, Toulouse, France
fYear
1998
fDate
14-16 Sep 1998
Firstpage
160
Lastpage
163
Abstract
Bilinear models can approximate a large class of nonlinear systems adequately, and usually with considerable parsimony in the number of coefficients required. This paper studies bilinear models and basis expansion ideas for time varying non linear system identification. Both batch and recursive methods are developed
Keywords
bilinear systems; identification; least squares approximations; nonlinear systems; recursive estimation; signal processing; time-varying systems; batch methods; bilinear model; nonlinear systems; recursive methods; signal processing; time varying non linear system identification; time-varying bilinear systems; Communication system control; Control systems; Linear systems; Linearity; Nonlinear systems; Spline; Stability; TV; Time series analysis; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
Conference_Location
Portland, OR
Print_ISBN
0-7803-5010-3
Type
conf
DOI
10.1109/SSAP.1998.739359
Filename
739359
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