Comments on "Robust and Reliable Estimation Via Unscented Recursive Nonlinear Dynamic Data Reconciliation"

Sridhar Ungarala

doi:10.1016/j.jprocont.2008.08.001

Comments on "Robust and Reliable Estimation Via Unscented Recursive Nonlinear Dynamic Data Reconciliation"

Sridhar Ungarala

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

Original language	American English
Journal	Journal of Process Control
Volume	19
DOIs	https://doi.org/10.1016/j.jprocont.2008.08.001
State	Published - Apr 1 2009

Disciplines

Chemical Engineering
Process Control and Systems

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10.1016/j.jprocont.2008.08.001License: CC BY

Comments on Robust and Reliable Estimation Via Unscented RecursiFinal published version, 1.11 MBLicense: CC BY

http://www.sciencedirect.com/science/article/pii/S0959152408001339

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title = "Comments on {"}Robust and Reliable Estimation Via Unscented Recursive Nonlinear Dynamic Data Reconciliation{"}",

author = "Sridhar Ungarala",

note = "Ungarala, S. (2009). Comments on “Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation”. Journal of Process Control, 19(4), 717-718. doi:10.1016/j.jprocont.2008.08.001",

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N1 - Ungarala, S. (2009). Comments on “Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation”. Journal of Process Control, 19(4), 717-718. doi:10.1016/j.jprocont.2008.08.001

PY - 2009/4/1

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UR - https://engagedscholarship.csuohio.edu/encbe_facpub/48

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M3 - Article

VL - 19

JO - Journal of Process Control

JF - Journal of Process Control

ER -

Comments on "Robust and Reliable Estimation Via Unscented Recursive Nonlinear Dynamic Data Reconciliation"

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