Nonlinear dynamic data reconciliation: In-depth case study

2013 IEEE International Conference on Control Applications (CCA) ◽

10.1109/cca.2013.6662839 ◽

2013 ◽

Author(s):

James H. Taylor ◽

Rocio del Pilar Moreno

Keyword(s):

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Data ◽

Dynamic Data Reconciliation

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Reactivity and Delayed Neutron Precursors’ Concentration Estimation Based on Recursive Nonlinear Dynamic Data Reconciliation Technique

IEEE Transactions on Nuclear Science ◽

10.1109/tns.2019.2895134 ◽

2019 ◽

Vol 66 (2) ◽

pp. 541-548

Author(s):

Tarang Upendra Bhatt ◽

Shrenik B. Patel ◽

Akhilanand Pati Tiwari

Keyword(s):

Nonlinear Dynamic ◽

Data Reconciliation ◽

Delayed Neutron ◽

Dynamic Data ◽

Concentration Estimation ◽

Dynamic Data Reconciliation

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Modified unscented recursive nonlinear dynamic data reconciliation for constrained state estimation

Journal of Process Control ◽

10.1016/j.jprocont.2010.02.006 ◽

2010 ◽

Vol 20 (4) ◽

pp. 525-537 ◽

Author(s):

Sachin C. Kadu ◽

Mani Bhushan ◽

Ravindra Gudi ◽

Kallol Roy

Keyword(s):

State Estimation ◽

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Data ◽

Dynamic Data Reconciliation

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Robust and reliable estimation via Unscented Recursive Nonlinear Dynamic Data Reconciliation

Journal of Process Control ◽

10.1016/j.jprocont.2006.07.002 ◽

2006 ◽

Vol 16 (10) ◽

pp. 1075-1086 ◽

Author(s):

Pramod Vachhani ◽

Shankar Narasimhan ◽

Raghunathan Rengaswamy

Keyword(s):

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Data ◽

Reliable Estimation ◽

Dynamic Data Reconciliation

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Nonlinear Dynamic Data Reconciliation via Process Simulation Software and Model Identification Tools

Industrial & Engineering Chemistry Research ◽

10.1021/ie010781s ◽

2002 ◽

Vol 41 (16) ◽

pp. 3984-3992 ◽

Author(s):

Semra Alici ◽

Thomas F. Edgar

Keyword(s):

Process Simulation ◽

Nonlinear Dynamic ◽

Model Identification ◽

Simulation Software ◽

Data Reconciliation ◽

Dynamic Data ◽

Dynamic Data Reconciliation

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A study of nonlinear dynamic data reconciliation

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583) ◽

10.1109/icsmc.2004.1399815 ◽

2005 ◽

Author(s):

Lingke Zhou ◽

Hougye Su ◽

Man Chu

Keyword(s):

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Data ◽

Dynamic Data Reconciliation

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A Novel Robust Nonlinear Dynamic Data Reconciliation

Chinese Journal of Chemical Engineering ◽

10.1016/s1004-9541(07)60148-7 ◽

2007 ◽

Vol 15 (5) ◽

pp. 698-702 ◽

Author(s):

Qian GAO ◽

Weiwu YAN ◽

Huihe SHAO

Keyword(s):

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Data ◽

Dynamic Data Reconciliation

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Comparative analysis of robust estimators on nonlinear dynamic data reconciliation

Computer Aided Chemical Engineering - 18th European Symposium on Computer Aided Process Engineering ◽

10.1016/s1570-7946(08)80088-0 ◽

2008 ◽

pp. 501-506 ◽

Author(s):

Diego Martinez Prata ◽

José Carlos Pinto ◽

Enrique Luis Lima

Keyword(s):

Comparative Analysis ◽

Nonlinear Dynamic ◽

Data Reconciliation ◽

Robust Estimators ◽

Dynamic Data ◽

Dynamic Data Reconciliation

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Elman Neural Networks Combined with Extended Kalman Filters for Data-Driven Dynamic Data Reconciliation in Nonlinear Dynamic Process Systems

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.1c02916 ◽

2021 ◽

Author(s):

Guiting Hu ◽

Zhengjiang Zhang ◽

Junghui Chen ◽

Zhenhui Zhang ◽

Antonios Armaou ◽

...

Keyword(s):

Neural Networks ◽

Dynamic Process ◽

Kalman Filters ◽

Nonlinear Dynamic ◽

Data Driven ◽

Data Reconciliation ◽

Dynamic Data ◽

Extended Kalman Filters ◽

Process Systems ◽

Dynamic Data Reconciliation

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A Novel Adaptive Nonlinear Dynamic Data Reconciliation and Gross Error Detection Method

2006 IEEE International Conference on Control Applications ◽

10.1109/cca.2006.286143 ◽

2006 ◽

Author(s):

James Taylor ◽

Mazyar Laylabadi

Keyword(s):

Error Detection ◽

Nonlinear Dynamic ◽

Detection Method ◽

Data Reconciliation ◽

Dynamic Data ◽

Gross Error Detection ◽

Gross Error ◽

Dynamic Data Reconciliation

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Comments on “Robust and reliable estimation via unscented recursive nonlinear dynamic data reconciliation”

Journal of Process Control ◽

10.1016/j.jprocont.2008.08.001 ◽

2009 ◽

Vol 19 (4) ◽

pp. 717-718

Author(s):

Sridhar Ungarala

Keyword(s):

Nonlinear Dynamic ◽

Data Reconciliation ◽

Dynamic Data ◽

Reliable Estimation ◽

Dynamic Data Reconciliation

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