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Estimates of an Upper Limit of the Number of Parameters in Nonlinear Model Structures

Jonas Sjöberg (Institutionen för signaler och system, Mekatronik) ; Johan Schoukens
Conference: 15th IFAC Symposium on System Identification (2009)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Nonlinear systems, System Identification, Parameterization, Dynamic modelling, Input signals

Denna post skapades 2009-03-20. Senast ändrad 2017-06-28.
CPL Pubid: 91695


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Institutioner (Chalmers)

Institutionen för signaler och system, Mekatronik (2005-2017)


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