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2019
1 Assumpcao Matias, Jose Otavio; Jäschke, Johannes.
Online Model Maintenance via Output Modifier Adaptation. Industrial & Engineering Chemistry Research 2019 ;Volum 58.(30) s. 13750-13766
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2 Bikmukhametov, Timur; Jäschke, Johannes.
First principles and machine learning virtual flow metering: A literature review. Journal of Petroleum Science and Engineering 2019 ;Volum 184:106487. s. 1-26
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3 Bikmukhametov, Timur; Jäschke, Johannes.
Oil Production Monitoring using Gradient Boosting Machine Learning Algorithm. IFAC-PapersOnLine 2019 ;Volum 52.(1) s. 514-519
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4 Das, Tamal; Heggheim, Sindre Johan; Dudek, Marcin; Verheyleweghen, Adriaen; Jäschke, Johannes.
Optimal Operation of a Subsea Separation System Including a Coalescence Based Gravity Separator Model and a Produced Water Treatment Section. Industrial & Engineering Chemistry Research 2019 ;Volum 58.(10) s. 4168-4185
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5 Das, Tamal; Jäschke, Johannes.
Simplified First-Principles Model of a Compact Flotation Unit for Use in Optimization and Control. Industrial & Engineering Chemistry Research 2019 ;Volum 58.(3) s. 1273-1285
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6 Dias, Ana Carolina Spindola Rangel; Soares, Felipo Rojas; Jäschke, Johannes; de Souza, Mauricio Bezerra; Pinto, Jose Carlos.
Extracting Valuable Information from Big Data for Machine Learning Control: An Application for a Gas Lift Process. Processes 2019 ;Volum 7.(5) s. 1-23
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7 Jäschke, Johannes; Thombre, Mandar.
A Data-driven approach for robust operation of energy storage systems. HighEFF Annual Consortium Meeting 2019; 2019-05-08 - 2019-05-09
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8 Matias, José O.A.; Jäschke, Johannes.
Using a neural network for estimating plant gradients in real-time optimization with modifier adaptation. IFAC-PapersOnLine 2019 ;Volum 52.(1) s. 808-813
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9 Thombre, Mandar; Krishnamoorthy, Dinesh; Jäschke, Johannes.
Data-driven Online Adaptation of the Scenario-tree in Multistage Model Predictive Control. IFAC-PapersOnLine 2019 ;Volum 52.(1) s. 461-467
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10 Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes.
Combined Maintenance Scheduling and Production Optimization. ESREL; 2019-09-23 - 2019-09-26
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11 Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes.
Combined Maintenance Scheduling and Production Optimization. I: Proceedings of the 29th European Safety and Reliability Conference(ESREL). 22 – 26 September 2019 Hannover, Germany. Research Publishing Services 2019 ISBN 978-981-11-2724-3. s. 499-507
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2018
12 Assumpcao Matias, Jose Otavio; Le Roux, Galo AC; Jaeschke, Johannes.
Modifier adaptation for real-time optimization of a gas lifted well network. IFAC-PapersOnLine 2018 ;Volum 51.(8) s. 31-36
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13 Bikmukhametov, Timur; Jäschke, Johannes.
Analysis of Influence of Sensor Degradation on Flowrate Estimates. 21st Nordic Process Control Workshop; 2018-01-18 - 2018-01-19
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14 Bikmukhametov, Timur; Stanko, Milan; Jäschke, Johannes.
Statistical Analysis of Effect of Sensor Degradation and Heat Transfer Modeling on Multiphase Flowrate Estimates from a Virtual Flow Meter. SPE Asia Pacific Oil & Gas Conference and Exhibition; 2018-10-23 - 2018-10-25
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15 Bikmukhametov, Timur; Stanko, Milan; Jäschke, Johannes.
Statistical Analysis of Effect of Sensor Degradation and Heat Transfer Modeling on Multiphase Flowrate Estimates from a Virtual Flow Meter. I: SPE Asia Pacific Oil & Gas Conference and Exhibition, 2018. Society of Petroleum Engineers 2018 ISBN 978-1-61399-595-2. s. -
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16 Das, Tamal; Jaeschke, Johannes.
A control oriented model for inline deoiling hydrocyclone. Nordic process control workshop 2018; 2018-01-18 - 2018-01-19
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17 Das, Tamal; Jäschke, Johannes.
Modeling and control of an inline deoiling hydrocyclone *. IFAC-PapersOnLine 2018 ;Volum 51.(8) s. 138-143
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18 Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes.
Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm. IEEE Control Systems Letters 2018 ;Volum 2.(4) s. 581-586
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19 Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes.
Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm. Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes 2018
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20 Krishnamoorthy, Dinesh; Thombre, Mandar; Skogestad, Sigurd; Jäschke, Johannes.
Data-driven Scenario Selection for Multistage Robust Model Predictive Control. IFAC-PapersOnLine 2018 ;Volum 51.(20) s. 462-468
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21 Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I..
Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs. Optimization 2018
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22 Suwartadi, Eka; Biegler, LT; Jaeschke, Johannes.
A Multistage Economic Model Predictive Control for Time-Varying Parameter Value. 6th IFAC Conference on Nonlinear Model Predictive Control; 2018-08-19 - 2018-08-22
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23 Suwartadi, Eka; Jaeschke, Johannes.
Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. 10th IFAC Symposium on Advanced Control of Chemical Processe; 2018-07-25 - 2018-07-27
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24 Suwartadi, Eka; Jäschke, Johannes.
Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. IFAC-PapersOnLine 2018 ;Volum 51.(18) s. 399-404
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25 Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes.
Fast Economic Model Predictive Control for a Gas Lifted Well Network. IFAC-PapersOnLine 2018 ;Volum 51.(8) s. 25-30
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26 Suwartadi, Eka; Krishnamoorthy, Dinesh; Jäschke, Johannes.
Fast Economic Model Predictive Control for a Gas Lifted Well Network. 3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2018; 2018-05-30 - 2018-06-01
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27 Verheyleweghen, Adriaen; Jaeschke, Johannes.
Self-Optimizing Control of an LNG Liquefaction Plant. Journal of Process Control 2018 s. 1-13
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28 Verheyleweghen, Adriaen; Jäschke, Johannes.
Oil production optimization of several wells subject to choke degradation. IFAC-PapersOnLine 2018 ;Volum 51.(8) s. 1-6
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29 Verheyleweghen, Adriaen; Jäschke, Johannes; Gjøby, Julie Marie.
Health-Aware Operation of a Subsea Compression System Subject to Degradation. European Symposium on Computer Aided Process Engineering; 2018-06-10 - 2018-06-13
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2017
30 Das, Tamal; Backi, Christoph Josef; Jaschke, Johannes.
A model for subsea oil-water gravity separator to estimate unmeasured disturbances. Computer-aided chemical engineering 2017 ;Volum 40. s. 1489-1494
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31 Das, Tamal; Jaeschke, Johannes.
Pathfollowing approach for a sensitivity based moving horizon estimator. 2017 IEEE 56th Annual Conference on Decision and Control (CDC); 2017-12-12 - 2017-12-15
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32 Jaschke, Johannes; Cao, Yi; Kariwala, Vinay Kumar.
Self-optimizing control - A survey. Annual Reviews in Control 2017 ;Volum 43. s. 199-223
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33 Kungurtsev, Vyacheslav; Jaschke, Johannes.
A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems. SIAM Journal on Optimization 2017 ;Volum 27.(1) s. 538-564
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34 Suwartadi, Eka; Kungurtsev, Vyacheslav; Jaschke, Johannes.
Sensitivity-Based Economic NMPC with a Path-Following Approach. Processes 2017 ;Volum 5.(1) s. 1-18
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35 Verheyleweghen, Adriaen; Jaeschke, Johannes.
Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System. IFAC-PapersOnLine 2017 ;Volum 50.(1) s. 15916-15921
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36 Verheyleweghen, Adriaen; Jaschke, Johannes.
HEALTH-AWARE OPERATION OF A SUBSEA GAS COMPRESSION SYSTEM UNDER UNCERTAINTY. Foundations of Computer Aided Process Operations / Chemical Process Control 2017; 2017-01-08 - 2017-01-12
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2016
37 Das, Tamal; Jäschke, Johannes Ernst Peter.
Estimation of Unmeasured Oil and Water Purities for a Continuous Subsea Gravity Separator. Nordic Process Control Workshop; 2016-08-25 - 2016-08-26
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38 Das, Tamal; Jäschke, Johannes Ernst Peter.
A Simplified Dynamic Model of a Continuous Subsea Oil-Water Gravity Separator for Estimation of Unmeasurable Oil and Water Purities. Annual meeting - American Institute of Chemical Engineers 2016
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39 Das, Tamal; Tyvold, Preben Furst; Jäschke, Johannes Ernst Peter.
Modelling and optimization of compact subsea liquid-liquid separation system. Computer-aided chemical engineering 2016 ;Volum 38. s. 1255-1260
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40 de Oliveira, Vinicius; Jäschke, Johannes Ernst Peter; Skogestad, Sigurd.
Optimal operation of energy storage in buildings: Use of the hot water system. Journal of Energy Storage 2016 ;Volum 5. s. 102-112
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41 de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd.
Null-space method for optimal operation of transient processes. IFAC-PapersOnLine 2016 ;Volum 49.(7) s. 418-423
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42 Suwartadi, I Dewa Putu Eka; Jäschke, Johannes Ernst Peter.
Economic Nonlinear Model Predictive Control with a Path-Following Approach. Annual meeting American Institute of Chemical Engineers (AICHE); 2016-11-13 - 2016-11-18
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43 Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter.
Health-aware operation and control of a subsea gas compression station. Nordic Process Control Workshop; 2016-08-25 - 2016-08-26
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44 Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter.
Robust Health Aware Operation of a Subsea Gas Compression System. AIChE Annual Meeting; 2016-11-13 - 2016-11-18
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45 Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter.
Self-Optimizing Control of a Two-Stage Refrigeration Cycle. IFAC-PapersOnLine 2016 ;Volum 49.(7) s. 845-850
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2015
46 de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd.
An autonomous approach for driving systems towards their limit: An intelligent adaptive anti-slug control system for production maximization. IFAC-PapersOnLine 2015 ;Volum 48.(6) s. 104-111
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47 de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd.
Neighbouring-extremal control for steady-state optimization using noisy measurements. IFAC-PapersOnLine 2015 ;Volum 48.(8) s. 698-703
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48 Graciano, Jose Eduardo A; Jaschke, Johannes; Le Roux, Galo AC; Biegler, LT.
Integrating self-optimizing control and real-time optimization using zone control MPC. Journal of Process Control 2015 ;Volum 34. s. 35-48
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49 Jaschke, Johannes.
Optimizing process operation using sensitivity concepts. MOBOCON Symposium Optimazion and Control of Uncertain Systems; 2015-09-15 - 2015-09-16
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2014
50 Jaschke, Johannes; Skogestad, Sigurd.
A self-optimizing strategy for optimal operation of a preheating train for a crude oil unit. Computer-aided chemical engineering 2014 ;Volum 33. s. 607-612
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