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Data reconciliation for input-output models in linear dynamic systems

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Abstract

Sequential data reconciliation algorithms have been developed for input-output models in linear dynamic systems. Existing filtering methods do not treat the case where there are measurement errors in the input variables. In our approach, the measurement errors in the input variables are optimally handled by the least squares method. This method shows good performance for input-output models.

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References

  • Ayral, T. E.,“Criteria for Comparing Data Reconciliation Software Products”, IN CONTROL, VII(3), May–June (1994).

  • Darouach, M. and Zasadzinki, M.,“Data Reconciliation in Generalized Linear Dynamic Systems”,AIChE J.,37, 193(1991).

    Article  CAS  Google Scholar 

  • Darouach, M., Ragot, J., Fayolle, J. and Maquin, D.,“Data Validation in Large-Scale Steady-State Linear Systems”, World Cong, on Scientific Computation, IMACS-IFAC, Paris (1988).

  • Kim, I.-W., Liebman, M. J. and Edgar, T. F.,“A Sequential Errorin-Variables Method for Nonlinear Dynamic Systems”,Comp. Chem. Eng.,15, 663 (1991).

    Article  CAS  Google Scholar 

  • Kim, I.-W., Kang, M. S., Park, S. W. and Edgar, T. F.,“Robust Data Reconciliation and Gross Error Detection: The Modified MIMT using NLP”, Submitted toComp. Chem. Eng. (1995).

  • Kuehn, D. R. and Davidson, H.,“Computer Control”,Chem. Eng. Prog.,57, 44(1961).

    CAS  Google Scholar 

  • Liebman, M. J., Edgar, T. F. and Lasdon, L. S.,“Efficient Data Reconciliation and Estimation for Dynamic Process Using Nonlinear Programming Techniques”,Contp. Chem. Engng.,16, 963 (1992).

    Article  CAS  Google Scholar 

  • McBrayer, K. F., Edgar, T. F. and Young, R. E.,“The Application of Nonlinear Dynamic Data Reconciliation to Plant Data”, Proceedings of InCinc’94, November 1994.

  • Ramamurthi, Y., Sistu, P. B. and Bequette, B. W.,“Control-Relevant Dynamic Data Reconciliation and Parameter Estimation”,Comp. Chem. Eng.,17, 41(1993).

    Article  CAS  Google Scholar 

  • Rollins, D. K. and Devanathan, S.,“Unbiased Estimation in Dynamic Data Reconciliation”,AIChE J.,39, 1330 (1993).

    Article  CAS  Google Scholar 

  • Seborg, D. E., Edgar, T. F. and Mellichamp, D. A.,“Process Dynamics and Control”, Wiley, New York, 1989

    Google Scholar 

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Authors and Affiliations

  1. Department of Chemical Engineering, Kon Kuk University, Seoul, Korea

    In-Won Kim, Sunwon Park & Thomas F. Edgar

  2. Department of Chemical Engineering, KAIST, Taejon, Korea

    Sunwon Park

  3. Department of Chemical Engineering, The University of Texas, 78712, Austin, TX

    Thomas F. Edgar

Authors
  1. In-Won Kim
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  2. Sunwon Park
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  3. Thomas F. Edgar
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Kim, IW., Park, S. & Edgar, T.F. Data reconciliation for input-output models in linear dynamic systems. Korean J. Chem. Eng. 13, 211–215 (1996). https://doi.org/10.1007/BF02705911

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  • DOI: https://doi.org/10.1007/BF02705911

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