Sampling rate considerations in nonlinear system identification

D. T. Westwick*, E. J. Perreault, R. E. Kearney

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sampling rate considerations play an important role in nonlinear system identification and simulation. Static nonlinearities increase the bandwidth of the signals they transform. Therefore, the criteria used in linear systems theory (such as the Nyquist rate for the system input) will not always produce accurate representations of nonlinear systems. Theoretical arguments are given establishing criteria for the selection of appropriate sampling rates for experiments involving nonlinear system identification and simulation. A simulation is used to demonstrate these results.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages2303-2304
Number of pages2
Volume13
Editionpt 5
ISBN (Print)0780302168
StatePublished - Dec 1 1991
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Westwick, D. T., Perreault, E. J., & Kearney, R. E. (1991). Sampling rate considerations in nonlinear system identification. In Proceedings of the Annual Conference on Engineering in Medicine and Biology (pt 5 ed., Vol. 13, pp. 2303-2304). Publ by IEEE.