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
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;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980572
