DocumentCode
2188509
Title
Identification of extended bilinear state space models
Author
Schrempf, A. ; del Re, L.
Author_Institution
Dept. for Design & Control of Mechatronic Syst., Johannes Kepler Univ., Linz, Austria
Volume
3
fYear
2001
fDate
2001
Firstpage
2151
Abstract
An identification algorithm for a special model class which captures essential characteristics of many nonlinear systems is presented. Conditions are given under which this nonlinear model can be identified by use of efficient linear tools. Subspace identification is used to determine the linear part of the model and an initial estimate for the nonlinear one. The estimate of the nonlinear part is computed by a final numerical optimization step. A simulation study illustrates the applicability of the proposed method
Keywords
bilinear systems; discrete time systems; matrix algebra; observability; optimisation; parameter estimation; state-space methods; bilinear systems; discrete time systems; identification; nonlinear systems; observability matrix; optimization; parameter estimation; state space models; Algorithm design and analysis; Computational modeling; Control systems; Loss measurement; Mechatronics; Noise measurement; Nonlinear systems; Signal processing; State-space methods; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-7061-9
Type
conf
DOI
10.1109/.2001.980572
Filename
980572
Link To Document