Nonlinear system modelling: how to estimate the highest significant order

Author

Chiras, Neophytos ; Evans, Ceri ; Rees, David ; Solomou, Michael

Author_Institution

Sch. of Electron., Univ. of Glamorgan, Pontypridd, UK

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

353

Abstract

A new method for estimating the highest significant order of nonlinearity of Volterra type systems is presented. The method is based on the use of multisine signals and the possibility of testing the system at three different amplitudes. The performance of the proposed method is demonstrated in simulation and it is shown that it is possible to estimate the highest order of nonlinearity of Volterra type systems very accurately. The method can be used to provide essential prior knowledge about the nonlinearity and thus aid the accurate representation of the system under test.

Keywords

Volterra series; autoregressive moving average processes; frequency response; frequency-domain analysis; identification; modelling; nonlinear network analysis; nonlinear systems; Hammerstein models; NARMAX models; Volterra type systems; Wiener models; accurate representation; analytic response function; convolution integral; frequency domain; frequency response; highest significant order estimation; multisine signals; nonlinear electrical circuit; nonlinear system identification; nonlinear system modelling; simulation; system under test; Amplitude estimation; Convolution; Electronic equipment testing; Frequency domain analysis; Kernel; Linear systems; Linearity; Nonlinear systems; System testing; Taylor series;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE

ISSN

1091-5281

Print_ISBN

0-7803-7218-2

Type

conf

DOI

10.1109/IMTC.2002.1006866

Filename

1006866