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Bias of indirect non-parametric transfer function estimates for plants in closed loop

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Bias of indirect non-parametric transfer function estimates for plants in closed loop. / Heath, W.P.
In: Automatica, Vol. 37, No. 10, 01.10.2001, p. 1529-1540.

Research output: Contribution to journal › Article › peer-review

HarvardHarvard

Heath, WP 2001, 'Bias of indirect non-parametric transfer function estimates for plants in closed loop', Automatica, vol. 37, no. 10, pp. 1529-1540. https://doi.org/10.1016/S0005-1098(01)00105-4

APA

Heath, W. P. (2001). Bias of indirect non-parametric transfer function estimates for plants in closed loop. Automatica, 37(10), 1529-1540. https://doi.org/10.1016/S0005-1098(01)00105-4

CBE

Heath WP. 2001. Bias of indirect non-parametric transfer function estimates for plants in closed loop. Automatica. 37(10):1529-1540. https://doi.org/10.1016/S0005-1098(01)00105-4

MLA

Heath, W.P. "Bias of indirect non-parametric transfer function estimates for plants in closed loop". Automatica. 2001, 37(10). 1529-1540. https://doi.org/10.1016/S0005-1098(01)00105-4

VancouverVancouver

Heath WP. Bias of indirect non-parametric transfer function estimates for plants in closed loop. Automatica. 2001 Oct 1;37(10):1529-1540. Epub 2001 Aug 3. doi: 10.1016/S0005-1098(01)00105-4

Author

Heath, W.P. / Bias of indirect non-parametric transfer function estimates for plants in closed loop. In: Automatica. 2001 ; Vol. 37, No. 10. pp. 1529-1540.

RIS

TY - JOUR

T1 - Bias of indirect non-parametric transfer function estimates for plants in closed loop

AU - Heath, W.P.

PY - 2001/10/1

Y1 - 2001/10/1

N2 - We consider non-parametric indirect transfer function estimates for plants in closed loop. Such estimates are derived from the corresponding closed loop system transfer function estimate and knowledge of the controller. In particular, we give expressions for the bias of such estimates. We consider the application of the results to the spectral and empirical transfer function estimates under the assumption of Gaussian noise. In these cases, the bias can be expressed in terms of the experiment time, controller gain and the levels of disturbance and noise. We also briefly consider corresponding expressions for the variance

AB - We consider non-parametric indirect transfer function estimates for plants in closed loop. Such estimates are derived from the corresponding closed loop system transfer function estimate and knowledge of the controller. In particular, we give expressions for the bias of such estimates. We consider the application of the results to the spectral and empirical transfer function estimates under the assumption of Gaussian noise. In these cases, the bias can be expressed in terms of the experiment time, controller gain and the levels of disturbance and noise. We also briefly consider corresponding expressions for the variance

U2 - 10.1016/S0005-1098(01)00105-4

DO - 10.1016/S0005-1098(01)00105-4

M3 - Erthygl

VL - 37

SP - 1529

EP - 1540

JO - Automatica

JF - Automatica

IS - 10

ER -