Proceedings Article10.1109/CDC.1992.371136
An indirect method for transfer function estimation from closed loop data
P.M.J. Van den Hof,Ruud J.P. Schrama,Okko H. Bosgra +2 more
- 16 Dec 1992
- pp 1702-1706
195
TL;DR: In this article, an indirect method is introduced that is able to consistently estimate the transfer function of a linear plant on the basis of data obtained from closed loop experiments, even in the situation when the model of the noise disturbance on the data is not accurate.
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Abstract: An indirect method is introduced that is able to consistently estimate the transfer function of a linear plant on the basis of data obtained from closed loop experiments, even in the situation when the model of the noise disturbance on the data is not accurate. The primary interest is not the consistent identification of the system, but the gathering of a good approximation of its input-output transfer function. The method allows approximate identification of the open loop plant with an explicit and tunable expression from the bias distribution of the resulting model. >
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Citations
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Identification and Control - Closed Loop Issues
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Closed-Loop Issues in System Identification
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301
Identification of dynamic models in complex networks with prediction error methods : basic methods for consistent module estimates
TL;DR: In this paper, the problem of identifying dynamical models on the basis of measurement data is generalized to dynamical systems that operate in a complex interconnection structure and the objective is to consistently identify the dynamics of a particular module in the network.
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References
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System Identification: Theory for the User
Lennart Ljung
- 01 Jan 1987
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Identification of processes in closed loop-identifiability and accuracy aspects
TL;DR: It is shown that prediction error identification methods, applied in a direct fashion will given correct estimates in a number of feedback cases, and the accuracy is not necessarily worse in the presence of feedback.
445
•Journal Article
Identification of Processes in Closed Loop -- Identifiability and Accuracy Aspects
TL;DR: In this paper, it is shown that prediction error identification methods, applied in a direct fashion, will give correct estimates in a number of feedback cases, and that the accuracy is not necessarily worse in the presence of feedback.
Comparison of some instrumental variable methods-Consistency and accuracy aspects
Torsten Söderström,Petre Stoica +1 more
TL;DR: The investigation includes methods for open loop operation as well as methods designed for closed loop operation, and studied how the use of filters will influence the covariance matrix of the parameter estimates.
188
Identifiability conditions for linear multivariable systems operating under feedback
TL;DR: The possibility of estimating the parameters of a dynamic system when it is operating in closed loop is examined and a simple criterion is given, which contains earlier known conditions as simple special cases.
114
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