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Two measures of variation for non-parametric estimates in closed-loop

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Two measures of variation for non-parametric estimates in closed-loop. / Heath, W.P.
2003. 2627-2632 Paper presented at Proceedings of the 41st IEEE Conference on Decision and Control, 2002., Las Vegas, United States.

Research output: Contribution to conference › Paper › peer-review

HarvardHarvard

Heath, WP 2003, 'Two measures of variation for non-parametric estimates in closed-loop', Paper presented at Proceedings of the 41st IEEE Conference on Decision and Control, 2002., Las Vegas, United States, 10/12/02 - 13/12/02 pp. 2627-2632. https://doi.org/10.1109/CDC.2002.1184235

APA

Heath, W. P. (2003). Two measures of variation for non-parametric estimates in closed-loop. 2627-2632. Paper presented at Proceedings of the 41st IEEE Conference on Decision and Control, 2002., Las Vegas, United States. https://doi.org/10.1109/CDC.2002.1184235

CBE

Heath WP. 2003. Two measures of variation for non-parametric estimates in closed-loop. Paper presented at Proceedings of the 41st IEEE Conference on Decision and Control, 2002., Las Vegas, United States. https://doi.org/10.1109/CDC.2002.1184235

MLA

Heath, W.P. Two measures of variation for non-parametric estimates in closed-loop. Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 10 Dec 2002, Las Vegas, United States, Paper, 2003. 6 p. https://doi.org/10.1109/CDC.2002.1184235

VancouverVancouver

Heath WP. Two measures of variation for non-parametric estimates in closed-loop. 2003. Paper presented at Proceedings of the 41st IEEE Conference on Decision and Control, 2002., Las Vegas, United States. doi: 10.1109/CDC.2002.1184235

Author

Heath, W.P. / Two measures of variation for non-parametric estimates in closed-loop. Paper presented at Proceedings of the 41st IEEE Conference on Decision and Control, 2002., Las Vegas, United States.6 p.

RIS

TY - CONF

T1 - Two measures of variation for non-parametric estimates in closed-loop

AU - Heath, W.P.

PY - 2003/3/10

Y1 - 2003/3/10

N2 - It is known that non-parametric transfer function estimates in closed-loop often have infinite variance. But the expected value of the absolute value of such estimates is finite, and we propose it as a measure of variation. We also derive and discuss new expressions for the variance when an exclusion zone is introduced around the singularity.

AB - It is known that non-parametric transfer function estimates in closed-loop often have infinite variance. But the expected value of the absolute value of such estimates is finite, and we propose it as a measure of variation. We also derive and discuss new expressions for the variance when an exclusion zone is introduced around the singularity.

U2 - 10.1109/CDC.2002.1184235

DO - 10.1109/CDC.2002.1184235

M3 - Papur

SP - 2627

EP - 2632

T2 - Proceedings of the 41st IEEE Conference on Decision and Control, 2002.

Y2 - 10 December 2002 through 13 December 2002

ER -