dynamic data reconciliation Latest Research Papers

Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise

Journal of Process Control ◽

10.1016/j.jprocont.2021.10.003 ◽

2021 ◽

Vol 108 ◽

pp. 12-24

Author(s):

Wangwang Zhu ◽

Zhengjiang Zhang ◽

Junghui Chen ◽

Sheng Zhao ◽

Shipei Huang

Keyword(s):

Feedback Control ◽

Control Systems ◽

Measurement Noise ◽

Data Reconciliation ◽

Dynamic Data ◽

Feedback Control Systems ◽

Dynamic Data Reconciliation

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

Dynamic Data Reconciliation, Parameter Estimation, and Multi-Scale, Multi-Physics Modeling of the Microwave-Assisted Methane Dehydroaromatization Process

Chemical Engineering Science ◽

10.1016/j.ces.2021.116624 ◽

2021 ◽

pp. 116624

Author(s):

Chirag Mevawala ◽

Xinwei Bai ◽

Debangsu Bhattacharyya ◽

Jianli Hu

Keyword(s):

Parameter Estimation ◽

Data Reconciliation ◽

Dynamic Data ◽

Multi Scale ◽

Microwave Assisted ◽

Methane Dehydroaromatization ◽

Physics Modeling ◽

Dynamic Data Reconciliation

Dynamic data reconciliation to improve the result of controller performance assessment based on GMVC

ISA Transactions ◽

10.1016/j.isatra.2021.01.047 ◽

2021 ◽

Author(s):

Wangwang Zhu ◽

Zhengjiang Zhang ◽

Antonios Armaou ◽

Guiting Hu ◽

Sheng Zhao ◽

...

Keyword(s):

Performance Assessment ◽

Data Reconciliation ◽

Dynamic Data ◽

Controller Performance ◽

Dynamic Data Reconciliation

Dynamic Modeling of a Coal Mill for Simultaneous Dynamic Data Reconciliation and Parameter Estimation

10.33915/etd.10247 ◽

2021 ◽

Author(s):

vinayak dwivedy

Keyword(s):

Parameter Estimation ◽

Dynamic Modeling ◽

Data Reconciliation ◽

Dynamic Data ◽

Dynamic Data Reconciliation

Dynamic Data Reconciliation to Decrease the Effect of Measurement Noise on Controller Performance Assessment

IEEJ Transactions on Electrical and Electronic Engineering ◽

10.1002/tee.23107 ◽

2020 ◽

Vol 15 (5) ◽

pp. 714-722

Author(s):

Guanghui Yang ◽

Zhengjiang Zhang ◽

Sheng Zhao ◽

Wangwang Zhu ◽

Chong Chen

Keyword(s):

Performance Assessment ◽

Measurement Noise ◽

Data Reconciliation ◽

Dynamic Data ◽

Controller Performance ◽

Dynamic Data Reconciliation

Enhancing performance of generalized minimum variance control via dynamic data reconciliation

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2019.07.036 ◽

2019 ◽

Vol 356 (15) ◽

pp. 8829-8854

Author(s):

Zhengjiang Zhang ◽

Junghui Chen

Keyword(s):

Minimum Variance ◽

Data Reconciliation ◽

Dynamic Data ◽

Minimum Variance Control ◽

Dynamic Data Reconciliation

Joint dynamic data reconciliation/parameter estimation: Application to an industrial pyrolysis reactor

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2019.113726 ◽

2019 ◽

Vol 158 ◽

pp. 113726 ◽

Cited By ~ 4

Author(s):

G. Fadda ◽

J. Chebeir ◽

S.D. Salas ◽

J.A. Romagnoli

Keyword(s):

Parameter Estimation ◽

Data Reconciliation ◽

Dynamic Data ◽

Pyrolysis Reactor ◽

Dynamic Data Reconciliation

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

Dynamic Data Reconciliation and Validation of a Dynamic Model for Solvent-Based CO2 Capture Using Pilot-Plant Data

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.8b04489 ◽

2019 ◽

Vol 58 (5) ◽

pp. 1978-1993 ◽

Cited By ~ 3

Author(s):

Anderson Soares Chinen ◽

Joshua C. Morgan ◽

Benjamin Omell ◽

Debangsu Bhattacharyya ◽

David C. Miller

Keyword(s):

Dynamic Model ◽

Co2 Capture ◽

Pilot Plant ◽

Data Reconciliation ◽

Dynamic Data ◽

Plant Data ◽

Dynamic Data Reconciliation

dynamic data reconciliation
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise

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

Dynamic Data Reconciliation, Parameter Estimation, and Multi-Scale, Multi-Physics Modeling of the Microwave-Assisted Methane Dehydroaromatization Process

Dynamic data reconciliation to improve the result of controller performance assessment based on GMVC

Dynamic Modeling of a Coal Mill for Simultaneous Dynamic Data Reconciliation and Parameter Estimation

Dynamic Data Reconciliation to Decrease the Effect of Measurement Noise on Controller Performance Assessment

Enhancing performance of generalized minimum variance control via dynamic data reconciliation

Joint dynamic data reconciliation/parameter estimation: Application to an industrial pyrolysis reactor

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

Dynamic Data Reconciliation and Validation of a Dynamic Model for Solvent-Based CO2 Capture Using Pilot-Plant Data

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dynamic data reconciliationRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise

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

Dynamic Data Reconciliation, Parameter Estimation, and Multi-Scale, Multi-Physics Modeling of the Microwave-Assisted Methane Dehydroaromatization Process

Dynamic data reconciliation to improve the result of controller performance assessment based on GMVC

Dynamic Modeling of a Coal Mill for Simultaneous Dynamic Data Reconciliation and Parameter Estimation

Dynamic Data Reconciliation to Decrease the Effect of Measurement Noise on Controller Performance Assessment

Enhancing performance of generalized minimum variance control via dynamic data reconciliation

Joint dynamic data reconciliation/parameter estimation: Application to an industrial pyrolysis reactor

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

Dynamic Data Reconciliation and Validation of a Dynamic Model for Solvent-Based CO2 Capture Using Pilot-Plant Data

dynamic data reconciliation
Recently Published Documents