• DocumentCode
    2971676
  • Title

    Two classes of useful order reduction approaches in engineering practice

  • Author

    Tang, Wei ; Wang, Xi ; Chao, Yuyan ; He, Lifeng

  • Author_Institution
    Dept. of Artificial Intell. & Comput. Sci., Nagoya Inst. of Technol., Nagoya, Japan
  • fYear
    2009
  • fDate
    22-24 June 2009
  • Firstpage
    875
  • Lastpage
    880
  • Abstract
    In terms of the basic principles of step response modeling and moment modeling, two classes of useful order reduction approaches, graphical order reduction approach and moment order reduction approach, are proposed in this paper. The procedures for parameter determination of the low-order approximating models are illustrated in detail. Graphical order reduction approach can be traced back to one of the classical modeling methods, by which the parameters of a low-order model can be specified by plotting and calculating. Moment order reduction approach is an impulse response based method, by which the low-order model parameters can be specified from the first two or three moments of the impulse response. Detailed comparisons are done by a large number of simulations to verify the approximating abilities of the low-order models yielded by the methods proposed in this paper.
  • Keywords
    approximation theory; reduced order systems; transient response; graphical order reduction approach; impulse response based method; low-order approximating models; moment modeling; moment order reduction approach; parameter determination; step response modeling; useful order reduction; Automation; Chaos; Computer errors; Control system synthesis; Equations; Helium; Mathematical model; Process design; Reduced order systems; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2009. ICIA '09. International Conference on
  • Conference_Location
    Zhuhai, Macau
  • Print_ISBN
    978-1-4244-3607-1
  • Electronic_ISBN
    978-1-4244-3608-8
  • Type

    conf

  • DOI
    10.1109/ICINFA.2009.5205042
  • Filename
    5205042