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Parameter Estimation in Closed-Loop

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Identification of Dynamic Systems

Abstract

In certain applications, the process can only be identified in closed loop. For example, in biological and economical systems, the controller is an integrated and by no means detachable part of the system. For technical systems, e.g. in the area of adaptive control systems, the process model must also be updated while the system is under closed-loop control. Furthermore, integral acting processes can typically only be operated reliably in closed-loop control to account for the influence of disturbances acting on the system, thereby avoiding a drift of the system. Also, for many safety critical systems it may be too dangerous to disconnect the controller. In production systems on the other hand, it may not be possible to maintain the necessary quality of the product without closed-loop control.

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References

  • Bohlin T (1971) On the problem of ambiguities in maximum likelihood identification. Automatica 7(2):199–210

    Article  MATH  MathSciNet  Google Scholar 

  • Forssell U, Ljung L (1999) Closed-loop identification revisited. Automatica 35(7):1215–1241

    Article  MATH  MathSciNet  Google Scholar 

  • Gilson M, van den Hof PMJ (2005) Instrumental variable methods for closed-loop system identification. Automatica 41:241–249

    Article  MATH  Google Scholar 

  • Gilson M, Garnier H, Young PC, van den Hof PMJ (2009) Refined instrumental variable methods for closed-loop system identification. In: Proceedings of the 15th IFAC Symposium on System Identification, Saint-Malo, France

    Google Scholar 

  • Gustavsson I, Ljung L, Söderström T (1974) Identification of linear multivariable process dynamics using closed-loop experiments. Report 7401. Dept. of Automatic Control, Lund Inst of Technology, Lund

    Google Scholar 

  • Gustavsson I, Ljung L, Söderström T (1977) Identification in closed loop – identifiability and accuracy aspects. Automatica 13(1):59–75

    Article  MATH  MathSciNet  Google Scholar 

  • Hjalmarsson H (2005) From experiment design to closed-loop control. Automatica 41(3):393–438

    Article  MATH  MathSciNet  Google Scholar 

  • Isermann R (1992) Identifikation dynamischer Systeme: Besondere Methoden, Anwendungen (Vol 2). Springer, Berlin

    MATH  Google Scholar 

  • Kurz H (1977) Recursive process identification in closed loop with switching regulators. In: Proceedings of the 4th IFAC Symposium Digital Computer Applications to Process Control, Amsterdam, Netherlands

    Google Scholar 

  • Kurz H, Isermann R (1975) Methods for on-line process identification in closed loop. In: Proceedings of the 6th IFAC Congress, Boston, MA, USA

    Google Scholar 

  • Ljung L (1999) System identification: Theory for the user, 2nd edn. Prentice Hall Information and System Sciences Series, Prentice Hall PTR, Upper Saddle River, NJ

    Google Scholar 

  • Mårtensson J, Hjalmarsson H (2009) Variance-error quantification for identified poles and zeros. Automatica 45(11):2512–2525

    Article  MATH  Google Scholar 

  • Schoukens J, Vandersteen K, Barbé, Pintelon R (2009) Nonparametric preprocessing in system identification: A powerful tool. In: Proceedings of the European Control Conference 2009 - ECC 09, Budapest, Hungary, pp 1–14

    Google Scholar 

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Correspondence to Rolf Isermann .

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Isermann, R., Münchhof, M. (2011). Parameter Estimation in Closed-Loop. In: Identification of Dynamic Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78879-9_13

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  • DOI: https://doi.org/10.1007/978-3-540-78879-9_13

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