Johannes Jäschke
Johannes Jäschke
Associate Professor, Department Chemical Engineering, Norwegian University of Science and
Email verificata su ntnu.no - Home page
Titolo
Citata da
Citata da
Anno
Fast economic model predictive control based on NLP-sensitivities
J Jäschke, X Yang, LT Biegler
Journal of Process Control 24 (8), 1260-1272, 2014
802014
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
792011
Self-optimizing control–A survey
J Jäschke, Y Cao, V Kariwala
Annual Reviews in Control 43, 199-223, 2017
372017
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
212014
Optimal controlled variables for polynomial systems
J Jäschke, S Skogestad
Journal of Process Control 22 (1), 167-179, 2012
172012
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
152017
Sensitivity-based economic NMPC with a path-following approach
E Suwartadi, V Kungurtsev, J Jäschke
Processes 5 (1), 8, 2017
152017
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 37 (1), 2009
152009
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
122017
Self-optimizing invariants in dynamic optimization
J Jäschke, M Fikar, S Skogestad
2011 50th IEEE Conference on Decision and Control and European Control …, 2011
122011
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
112015
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
92018
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
92016
Dynamic online optimization of a house heating system in a fluctuating energy price scenario
V de Oliveira, J Jäschke, S Skogestad
IFAC Proceedings Volumes 46 (32), 463-468, 2013
92013
An autonomous approach for driving systems towards their limit: an intelligent adaptive anti-slug control system for production maximization
V de Oliveira, J Jäschke, S Skogestad
IFAC-PapersOnLine 48 (6), 104-111, 2015
82015
First principles and machine learning Virtual Flow Metering: A literature review
T Bikmukhametov, J Jäschke
Journal of Petroleum Science and Engineering 184, 106487, 2020
72020
Health-Aware Operation of a Subsea Gas Compression System under Uncertainty
A Verheyleweghen, J Jäschke
Foundations of Computer Aided Process Operations / Chemical Process Control …, 2017
72017
A self-optimizing strategy for optimal operation of a preheating train for a crude oil unit
J Jäschke, S Skogestad
Computer Aided Chemical Engineering 33, 607-612, 2014
72014
Using process data for finding self-optimizing controlled variables
J Jäschke, S Skogestad
IFAC Proceedings Volumes 46 (32), 451-456, 2013
72013
Control structure selection for optimal operation of a heat exchanger network
J Jäschke, S Skogestad
Proceedings of 2012 UKACC International Conference on Control, 148-153, 2012
72012
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20