Title :
Identification of time-varying bilinear systems
Author :
Meddeb, S. ; Tourneret, J.Y. ; Castanie, F.
Author_Institution :
GAPSE, ENSEEIHT, Toulouse, France
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;
Conference_Titel :
Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on
Conference_Location :
Portland, OR
Print_ISBN :
0-7803-5010-3
DOI :
10.1109/SSAP.1998.739359
