• DocumentCode
    391106
  • Title

    Improved direct identification of linear systems in closed-loop operation

  • Author

    Zheng, Wei Xing

  • Author_Institution
    Sch. of Quantitative Methods & Math. Sci., Univ. of Western Sydney, Penrith South DC, NSW, Australia
  • Volume
    1
  • fYear
    2002
  • fDate
    10-13 Dec. 2002
  • Firstpage
    275
  • Abstract
    An efficient method for direct closed-loop identification of linear systems was recently proposed. A crucial condition utilized in establishing this method is that the system pure time delay must be strictly greater than the order of the noise model. One eminent characteristic of the results presented in this paper is that the previous imposed condition is obliterated so that the method can be used for unbiased direct closed-loop identification of linear systems with arbitrary time delay (including without time delay). Moreover, an important relationship of the proposed method with the instrumental variable methods is founded, providing a good insight into the proposed method. The performance of the proposed method is also illustrated by simulation results in comparison with other identification methods.
  • Keywords
    autoregressive moving average processes; closed loop systems; delay systems; identification; linear systems; ARMAX model; closed-loop system; delay systems; direct closed-loop identification; linear systems; noise model; time delay; Adaptive control; Australia; Biological system modeling; Control systems; Delay effects; Economic forecasting; Linear systems; Open loop systems; Parameter estimation; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2002, Proceedings of the 41st IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7516-5
  • Type

    conf

  • DOI
    10.1109/CDC.2002.1184504
  • Filename
    1184504