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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bohlin T (1971) On the problem of ambiguities in maximum likelihood identification. Automatica 7(2):199–210
Forssell U, Ljung L (1999) Closed-loop identification revisited. Automatica 35(7):1215–1241
Gilson M, van den Hof PMJ (2005) Instrumental variable methods for closed-loop system identification. Automatica 41:241–249
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
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
Gustavsson I, Ljung L, Söderström T (1977) Identification in closed loop – identifiability and accuracy aspects. Automatica 13(1):59–75
Hjalmarsson H (2005) From experiment design to closed-loop control. Automatica 41(3):393–438
Isermann R (1992) Identifikation dynamischer Systeme: Besondere Methoden, Anwendungen (Vol 2). Springer, Berlin
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
Kurz H, Isermann R (1975) Methods for on-line process identification in closed loop. In: Proceedings of the 6th IFAC Congress, Boston, MA, USA
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
Mårtensson J, Hjalmarsson H (2009) Variance-error quantification for identified poles and zeros. Automatica 45(11):2512–2525
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
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer Berlin Heidelberg
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-540-78879-9_13
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78878-2
Online ISBN: 978-3-540-78879-9
eBook Packages: EngineeringEngineering (R0)