Johannes Jäschke
Sitert av
Sitert av
Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models
T Bikmukhametov, J Jäschke
Computers & Chemical Engineering 138, 106834, 2020
First principles and machine learning virtual flow metering: a literature review
T Bikmukhametov, J Jäschke
Journal of Petroleum Science and Engineering 184, 106487, 2020
NCO tracking and self-optimizing control in the context of real-time optimization
J Jäschke, S Skogestad
Journal of Process Control 21 (10), 1407-1416, 2011
Fast economic model predictive control based on NLP-sensitivities
J Jäschke, X Yang, LT Biegler
Journal of Process Control 24 (8), 1260-1272, 2014
Self-optimizing control–A survey
J Jäschke, Y Cao, V Kariwala
Annual Reviews in Control 43, 199-223, 2017
Oil production monitoring using gradient boosting machine learning algorithm
T Bikmukhametov, J Jäschke
Ifac-Papersonline 52 (1), 514-519, 2019
Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required
J Jäschke, S Skogestad
Computers & chemical engineering 70, 35-49, 2014
A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems
V Kungurtsev, J Jäschke
SIAM Journal on Optimization 27 (1), 538–564, 2017
Optimal controlled variables for polynomial systems
J Jäschke, S Skogestad
Journal of Process Control 22 (1), 167-179, 2012
Integrating self-optimizing control and real-time optimization using zone control MPC
JEA Graciano, J Jäschke, GAC Le Roux, LT Biegler
Journal of Process Control 34, 35-48, 2015
Dynamic model and control of heat exchanger networks for district heating
L Dobos, J Jäschke, J Abonyi, S Skogestad
Hungarian Journal of Industry and Chemistry, 2009
Design considerations for industrial water electrolyzer plants
M Rizwan, V Alstad, J Jäschke
International Journal of Hydrogen Energy 46 (75), 37120-37136, 2021
Modeling and control of an inline deoiling hydrocyclone
T Das, J Jäschke
IFAC-PapersOnLine 51 (8), 138-143, 2018
Improving scenario decomposition for multistage MPC using a sensitivity-based path-following algorithm
D Krishnamoorthy, E Suwartadi, B Foss, S Skogestad, J Jäschke
IEEE control systems letters 2 (4), 581-586, 2018
Framework for combined diagnostics, prognostics and optimal operation of a subsea gas compression system
A Verheyleweghen, J Jäschke
IFAC-PapersOnLine 50 (1), 15916-15921, 2017
Sensitivity-based economic NMPC with a path-following approach
E Suwartadi, V Kungurtsev, J Jäschke
Processes 5 (1), 8, 2017
Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation
X Liu, J Matias, J Jäschke, J Vatn
Reliability Engineering & System Safety 217, 108084, 2022
Optimal operation of energy storage in buildings: Use of the hot water system
V de Oliveira, J Jäschke, S Skogestad
Journal of energy storage 5, 102-112, 2016
Optimal scheduling of flexible thermal power plants with lifetime enhancement under uncertainty
J Rúa, A Verheyleweghen, J Jäschke, LO Nord
Applied Thermal Engineering 191, 116794, 2021
Optimal operation of a subsea separation system including a coalescence based gravity separator model and a produced water treatment section
T Das, SJ Heggheim, M Dudek, A Verheyleweghen, J Jäschke
Industrial & Engineering Chemistry Research 58 (10), 4168-4185, 2019
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