Bounds on modeling error due to weak non-linear distortions

T. P. Dobrowiecki, J. Schoukens

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

Small nonlinearities affect the measurement of the Frequency Response Function (FRF). The measured best linear approximation to the (non-linear) system becomes offset from G0(jω) (the underlying linear system) and the measurements appear noisy due to the presence of the stochastic non-linear component. Using repeated measurements the characteristics can be smoothed; the bias however presents a problem. In this contribution the authors show, that for a particular class of non-linear systems, the unknown bias can be bounded even if no a priori information is available about the order or the magnitude of the non-linear component.

Original languageEnglish
Pages14-19
Number of pages6
Publication statusPublished - Jan 1 2001
Event18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics - Budapest, Hungary
Duration: May 21 2001May 23 2001

Other

Other18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics
CountryHungary
CityBudapest
Period5/21/015/23/01

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Dobrowiecki, T. P., & Schoukens, J. (2001). Bounds on modeling error due to weak non-linear distortions. 14-19. Paper presented at 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics, Budapest, Hungary.