Estimates of an Upper Limit of the Number of Parameters in Nonlinear Model Structures
Paper in proceedings, 2009

An approach to estimate the plausible number of parameters in a nonlinear model in an identification problem is considered. By suggesting a series of experiments using periodic input signal, estimates of the disturbance variance and the nonlinear distortion can be formulated. With these estimates an expression for a reasonable number of parameters is obtained. This is useful help when a user has to choose between different types of nonlinear model structure which differ largely in their number of parameters.

Nonlinear systems

System Identification

Dynamic modelling

Parameterization

Input signals

Author

Jonas Sjöberg

Chalmers, Signals and Systems, Systems and control, Mechatronics

Johan Schoukens

Vrije Universiteit Brussel (VUB)

IFAC Proceedings Volumes (IFAC-PapersOnline)

14746670 (ISSN)

Vol. 15 1 122-125

Subject Categories

Other Engineering and Technologies not elsewhere specified

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.3182/20090706-3-FR-2004.0321

ISBN

978-390266147-0

More information

Latest update

4/30/2018