A Practical Linear Identification Method Based on Geometric Representation of Time Invariant Continuous Systems

Ryo Watanabe, Kenko Uchida

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

Abstract

In this paper, we propose a geometric point of view for linear time invariant continuous systems and the method of identification based on this point of view. We also discuss the influence of observation noise on the evaluation of the system in our method based on the set membership approach. Then we demonstrate the proposed method of identification in experiment for a DC motor system.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Pages1126-1131
Number of pages6
DOIs
Publication statusPublished - 2003 Dec 1
Event42nd IEEE Conference on Decision and Control - Maui, HI, United States
Duration: 2003 Dec 92003 Dec 12

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume1
ISSN (Print)0191-2216

Other

Other42nd IEEE Conference on Decision and Control
CountryUnited States
CityMaui, HI
Period03/12/903/12/12

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Keywords

  • Fourier series
  • Geometric representation
  • Linear time invariant continuous system
  • Parametric identification

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Cite this

Watanabe, R., & Uchida, K. (2003). A Practical Linear Identification Method Based on Geometric Representation of Time Invariant Continuous Systems. In Proceedings of the IEEE Conference on Decision and Control (pp. 1126-1131). (Proceedings of the IEEE Conference on Decision and Control; Vol. 1). https://doi.org/10.1109/CDC.2003.1272719