Estimates of an Upper Limit of the Number of Parameters in Nonlinear Model Structures
Paper i proceeding, 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


Input signals


Jonas Sjöberg

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

Johan Schoukens

Vrije Universiteit Brüssel (VUB)

IFAC Proceedings Volumes (IFAC-PapersOnline)

14746670 (ISSN)

Vol. 15 1 122-125


Övrig annan teknik

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