Johannes Jäschke

Om

I work at the Department of Chemical Engineering, and I am currently heading the Process Systems Engineering group at NTNU.

Research interests

My research interests are within the field of process systems engineering, with a strong focus on modelling, numerical optimization and control. By linking methods from optimization and control theory, my goal is to systematically develop practically applicable solutions for operating process systems in a safe, reliable, and economical way.

Topics in this area include

Optimization-driven methods for optimal operation and control strategies
Real-time optimization and predictive control
Quantitative data methods for optimization and control of process systems

Current research projects

SensPATH -- Sensitivity-based Path-following for Robust Economic Model Predictive Control, FRINATEK Project funded by the Norwegian Research Council
AutoPRO -- Digitalization for Autonomous Prognosis and Production Optimization in Offshore Production Systems, Norway-China collaboration project funded by the Norwegian research councl and MOST
Drifting Twins, Funded within the SUBPRO center for research-based innovation SUBPRO SFI
Experimental validation of operational strategies for extending the remaining useful life of subsea processing systems, Funded within the SUBPRO center for research-based innovation SUBPRO SFI
Model-based optimization for large-scale process systems, Funded within the Center for Environmentally Friendly Energy HighEFF (with SINTEF)

Awards

Member of the Outstanding Academic Fellows Program at NTNU 2014-2018

Other

Member of the board of the Department of Chemical engineering at NTNU

Publikasjoner

2024

Turan, Evren Mert; Jäschke, Johannes. (2024) Closed-loop optimisation of neural networks for the design of feedback policies under uncertainty. Journal of Process Control
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2024) Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study. Journal of Process Control
Vitenskapelig artikkel
David de Oliveira, Rafael; Altamiranda, Edmary; Jäschke, Johannes. (2024) Fault detection and diagnosis on a gas-lifted oil well network control system. Computer-aided chemical engineering
Vitenskapelig artikkel
Fredriksen, Marius; David de Oliveira, Rafael; Martins Nakama, Caroline Satye; Jäschke, Johannes. (2024) Model Predictive Control of bioreactors based on a reformulation of dynamic metabolic network models. Computer-aided chemical engineering
Vitenskapelig artikkel
Tuhi, Farhana Yasmine; Fredriksen, Marius; Jäschke, Johannes; Bucelli, Marta; Liu, Yiliu. (2024) Accidents Review And Control Assessment For Reliable Operation Of PEM Water Electrolyzer Stacks. Polish Safety and Reliability Association
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Krog, Halvor Aarnes; Jäschke, Johannes. (2024) A simple and fast robust nonlinear model predictive control heuristic using n-steps-ahead uncertainty predictions for back-off calculations. Journal of Process Control
Vitenskapelig artikkel
Cammann, Lucas Michael; Perera, Anushka; Alstad, Vidar; Jäschke, Johannes. (2024) Design and operational analysis of an alkaline water electrolysis plant powered by wind energy. International Journal of Hydrogen Energy
Vitenskapelig artikkel

2023

Krog, Halvor Aarnes; Jäschke, Johannes. (2023) The Simple Solution for Nonlinear State Estimation of Ill-Conditioned Systems: The Normalized Unscented Kalman Filter . IFAC-PapersOnLine
Vitenskapelig artikkel
Turan, Evren Mert; Lia, Maren Sofie; Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2023) Experimental validation of modifier adaptation and Gaussian processes for real time optimisation. IFAC-PapersOnLine
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2023) A simple two-parameter steady-state detection algorithm: Concept and experimental validation. Computer-aided chemical engineering
Vitenskapelig artikkel
David de Oliveira, Rafael; Krog, Halvor Aarnes; Jäschke, Johannes. (2023) Sensor bias detection, isolation, and estimation in a subsea pump system. Computer-aided chemical engineering
Vitenskapelig artikkel
Krog, Halvor Aarnes; Jäschke, Johannes. (2023) Systematic Estimation of Noise Statistics for Nonlinear State Estimators by Parametric Uncertainty. Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
Mdoe, Zawadi Ntengua; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2023) Stability properties of the adaptive horizon multi-stage MPC. Journal of Process Control
Vitenskapelig artikkel
Bjorvand, Simen; Jäschke, Johannes. (2023) Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method. IEEE Control Systems Letters
Vitenskapelig artikkel
Tuveri, Andrea; Martins Nakama, Caroline Satye; Assumpcao Matias, Jose Otavio; Holck, Haakon Eng; Jäschke, Johannes; Imsland, Lars Struen. (2023) A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application. Computers and Chemical Engineering
Vitenskapelig artikkel
de Pádua Agripa Sales, Leonardo; Stanko Wolf, Milan Edvard; Jäschke, Johannes Ernst Peter. (2023) Superstructure optimization of subsea processing layouts. Journal of Petroleum Exploration and Production Technology
Vitenskapelig artikkel
Kungurtsev, Vyacheslav; Jäschke, Johannes. (2023) Pathfollowing for parametric mathematical programs with complementarity constraints. Optimization and Engineering
Vitenskapelig artikkel
Martins Nakama, Caroline Satye; Knudsen, Brage Rugstad; Tysland, Agnes Camilla; Jäschke, Johannes. (2023) A simple dynamic optimization-based approach for sizing thermal energy storage using process data. Energy
Vitenskapelig artikkel
de Azevedo Delou, Pedro; Assumpcao Matias, Jose Otavio; Jäschke, Johannes; de Souza, Maurício B.; Secchi, Argimiro R.. (2023) Steady-state real-time optimization using transient measurements and approximated Hammerstein dynamic model: A proof of concept in an experimental rig. Journal of Process Control
Vitenskapelig artikkel

2022

Mdoe, Zawadi Ntengua; Thombre, Mandar Nitin; Jäschke, Johannes Ernst Peter. (2022) Data-driven online scenario selection for multistage NMPC. Computer-aided chemical engineering
Vitenskapelig artikkel
Tuveri, Andrea; Eng Holck, Haakon; Nakama, Caroline Satye; Matias, José O.A.; Jäschke, Johannes; Imsland, Lars Struen. (2022) Bioprocess Monitoring: A Moving Horizon Estimation Experimental Application. IFAC-PapersOnLine
Short communication
Krog, Halvor Aarnes; Jäschke, Johannes. (2022) Systematic Estimation of Noise Statistics for Nonlinear Kalman Filters. IFAC-PapersOnLine
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Oliveira, Julio P.C.; Le Roux, Galo A. C.; Jäschke, Johannes. (2022) Steady-state real-time optimization using transient measurements on an experimental rig . Journal of Process Control
Vitenskapelig artikkel
Sales, Leonardo; Jäschke, Johannes; Stanko, Milan . (2022) Designing Subsea Processing Systems Using a Hybrid Genetic Algorithm. The American Society of Mechanical Engineers (ASME)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Martins Nakama, Caroline Satye; Maxwell, Peter; Jäschke, Johannes. (2022) Path-following for parametric MPCC: a flash tank case study. Computer-aided chemical engineering
Short communication
Assumpcao Matias, Jose Otavio; Yemane Ghebredngl, Salmon; Jäschke, Johannes. (2022) Health-aware control using hybrid models applied to a gas-lifted oil well network. Computer-aided chemical engineering
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Myrvang, Frida Bakken; Jäschke, Johannes. (2022) Implementation of Extremum Seeking Control in an Experimental Lab-Rig. IFAC-PapersOnLine
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2022) From-scratch development and improvement of a problem-based learning course: Nonlinear Model Predictive Control for Chemical and Biochemical Processes. IFAC-PapersOnLine
Vitenskapelig artikkel
Martins Nakama, Caroline Satye; Jäschke, Johannes. (2022) Analysis of control models based on dFBA for fed-batch bioreactors solved by interior-point methods. IFAC-PapersOnLine
Short communication
Nakama, Caroline Satye; Tysland, Agnes Camilla; Knudsen, Brage Rugstad; Jäschke, Johannes. (2022) Simultaneous Optimal Operation and Design of a Thermal Energy Storage Tank for District Heating Systems with Varying Energy Source. Computer-aided chemical engineering
Vitenskapelig artikkel
Mdoe, Zawadi Ntengua; Thombre, Mandar Nitin; Jäschke, Johannes. (2022) Data-driven online scenario selection for multistage NMPC. Elsevier
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Turan, Evren Mert; Kannan, Rohit; Jäschke, Johannes. (2022) Design of PID controllers using semi-infinite programming. Computer-aided chemical engineering
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2022) Designing neural network control policies under parametric uncertainty: A Koopman operator approach. IFAC-PapersOnLine
Vitenskapelig artikkel

2021

Sales, Leonardo de Pádua Agripa; Jäschke, Johannes; Stanko, Milan . (2021) Early field planning using optimisation and considering uncertainties - Study case: Offshore deepwater field in Brazil. Journal of Petroleum Science and Engineering
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2021) Classification of undesirable events in oil well operation. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Mdoe, Zawadi Ntengua; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2021) Adaptive Horizon Multistage Nonlinear Model Predictive Control. American Control Conference (ACC)
Vitenskapelig artikkel
Thombre, Mandar Nitin; (Joyce) Yu, Zhou; Jäschke, Johannes; Biegler, Lorenz T.. (2021) Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency. Computers and Chemical Engineering
Vitenskapelig artikkel
Jahren, Jan Henrik; Assumpcao Matias, Jose Otavio; Jaeschke, Johannes. (2021) Data-driven modelling of choke valve erosion using data simulated from a first principles model. Computer-aided chemical engineering
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2021) Multiple shooting for training neural differential equations on time series. IEEE Control Systems Letters
Vitenskapelig artikkel
Liu, Xingheng; Assumpcao Matias, Jose Otavio; Jäschke, Johannes; Vatn, Jørn. (2021) Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation. Reliability Engineering & System Safety
Vitenskapelig artikkel
Rizwan, Md; Alstad, Vidar; Jäschke, Johannes. (2021) Design considerations for industrial water electrolyzer plants. International Journal of Hydrogen Energy
Vitenskapelig artikkel
Rúa, Jairo; Verheyleweghen, Adriaen; Jäschke, Johannes; Nord, Lars O.. (2021) Optimal scheduling of flexible thermal power plants with lifetime enhancement under uncertainty. Applied Thermal Engineering
Vitenskapelig artikkel

2020

Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2020) Online Model Maintenance in Real-time Optimization Methods. Computers and Chemical Engineering
Vitenskapelig artikkel
Thombre, Mandar; Mdoe, Zawadi Ntengua; Jäschke, Johannes. (2020) Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters . Processes
Vitenskapelig artikkel
Thombre, Mandar; Prakash, Sandeep; Knudsen, Brage Rugstad; Jäschke, Johannes. (2020) Optimizing the Capacity of Thermal Energy Storage in Industrial Clusters. Elsevier
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Assumpcao Matias, Jose Otavio; Ågotnes, Joachim Alexander Hauge; Jäschke, Johannes. (2020) Health-aware advanced control applied to a gas-lifted oil well network. IFAC-PapersOnLine
Vitenskapelig artikkel
Pérez-Piñeiro, David; Nikolakopoulou, Anastasia; Jäschke, Johannes; Braatz, Richard D.. (2020) Self-Optimizing Control of a Continuous-Flow Pharmaceutical Manufacturing Plant. IFAC-PapersOnLine
Vitenskapelig artikkel
Krishnamoorthy, Dinesh; Biegler, Lorenz T.; Jäschke, Johannes. (2020) Adaptive horizon economic nonlinear model predictive control. Journal of Process Control
Vitenskapelig artikkel
Bikmukhametov, Timur; Jäschke, Johannes. (2020) Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models. Computers and Chemical Engineering
Vitenskapelig artikkel
Suwartadi, I Dewa Putu Eka; Kungurtsev, Vyacheslav; Jäschke, Johannes. (2020) Fast sensitivity-based economic model predictive control for degenerate systems. Journal of Process Control
Vitenskapelig artikkel

2019

Das, Tamal; Heggheim, Sindre Johan; Dudek, Marcin; Verheyleweghen, Adriaen; Jäschke, Johannes. (2019) Optimal Operation of a Subsea Separation System Including a Coalescence Based Gravity Separator Model and a Produced Water Treatment Section. Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
Bikmukhametov, Timur; Jäschke, Johannes. (2019) First principles and machine learning virtual flow metering: A literature review. Journal of Petroleum Science and Engineering
Vitenskapelig oversiktsartikkel/review
Das, Tamal; Jäschke, Johannes. (2019) Simplified First-Principles Model of a Compact Flotation Unit for Use in Optimization and Control. Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2019) Online Model Maintenance via Output Modifier Adaptation. Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
Dias, Ana Carolina Spindola Rangel; Soares, Felipo Rojas; Jäschke, Johannes; de Souza, Mauricio Bezerra; Pinto, Jose Carlos. (2019) Extracting Valuable Information from Big Data for Machine Learning Control: An Application for a Gas Lift Process. Processes
Vitenskapelig artikkel
Thombre, Mandar; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2019) Data-driven Online Adaptation of the Scenario-tree in Multistage Model Predictive Control. IFAC-PapersOnLine
Vitenskapelig artikkel
Matias, José O.A.; Jäschke, Johannes. (2019) Using a neural network for estimating plant gradients in real-time optimization with modifier adaptation. IFAC-PapersOnLine
Vitenskapelig artikkel
Bikmukhametov, Timur; Jäschke, Johannes. (2019) Oil Production Monitoring using Gradient Boosting Machine Learning Algorithm. IFAC-PapersOnLine
Vitenskapelig artikkel
Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes. (2019) Combined Maintenance Scheduling and Production Optimization. Research Publishing Services
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

2018

Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I.. (2018) Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs. Optimization
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Le Roux, Galo AC; Jaeschke, Johannes. (2018) Modifier adaptation for real-time optimization of a gas lifted well network. IFAC-PapersOnLine
Vitenskapelig artikkel
Suwartadi, Eka; Jäschke, Johannes. (2018) Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. IFAC-PapersOnLine
Vitenskapelig artikkel
Verheyleweghen, Adriaen; Jäschke, Johannes. (2018) Oil production optimization of several wells subject to choke degradation. IFAC-PapersOnLine
Vitenskapelig artikkel
Das, Tamal; Jäschke, Johannes. (2018) Modeling and control of an inline deoiling hydrocyclone *. IFAC-PapersOnLine
Vitenskapelig artikkel
Verheyleweghen, Adriaen; Jaeschke, Johannes. (2018) Self-Optimizing Control of an LNG Liquefaction Plant. Journal of Process Control
Vitenskapelig artikkel
Krishnamoorthy, Dinesh; Thombre, Mandar; Skogestad, Sigurd; Jäschke, Johannes. (2018) Data-driven Scenario Selection for Multistage Robust Model Predictive Control. IFAC-PapersOnLine
Vitenskapelig artikkel
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes. (2018) Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm. IEEE Control Systems Letters
Vitenskapelig artikkel
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes. (2018) 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
Vitenskapelig artikkel
Bikmukhametov, Timur; Stanko, Milan ; Jäschke, Johannes. (2018) Statistical analysis of effect of sensor degradation and heat transfer modeling on multiphase flowrate estimates from a virtual flow meter. Society of Petroleum Engineers
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes. (2018) Fast Economic Model Predictive Control for a Gas Lifted Well Network. IFAC-PapersOnLine
Vitenskapelig artikkel

2017

Jaschke, Johannes; Cao, Yi; Kariwala, Vinay Kumar. (2017) Self-optimizing control - A survey. Annual Reviews in Control
Vitenskapelig oversiktsartikkel/review
Das, Tamal; Backi, Christoph Josef; Jaschke, Johannes. (2017) A model for subsea oil-water gravity separator to estimate unmeasured disturbances. Computer-aided chemical engineering
Vitenskapelig artikkel
Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems . SIAM Journal on Optimization
Vitenskapelig artikkel
Verheyleweghen, Adriaen; Jaeschke, Johannes. (2017) Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System. IFAC-PapersOnLine
Vitenskapelig artikkel
Suwartadi, Eka; Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) Sensitivity-Based Economic NMPC with a Path-Following Approach. Processes
Vitenskapelig artikkel

2016

Das, Tamal; Jäschke, Johannes Ernst Peter. (2016) 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
Sammendrag/abstract
Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. (2016) Self-Optimizing Control of a Two-Stage Refrigeration Cycle. IFAC-PapersOnLine
Vitenskapelig artikkel
de Oliveira, Vinicius; Jäschke, Johannes Ernst Peter; Skogestad, Sigurd. (2016) Optimal operation of energy storage in buildings: Use of the hot water system. Journal of Energy Storage
Vitenskapelig artikkel
Das, Tamal; Tyvold, Preben Furst; Jäschke, Johannes Ernst Peter. (2016) Modelling and optimization of compact subsea liquid-liquid separation system. Computer-aided chemical engineering
Vitenskapelig artikkel
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2016) Null-space method for optimal operation of transient processes. IFAC-PapersOnLine
Vitenskapelig artikkel

2011

Jaschke, Johannes. (2011) Invariants for Optimal Operation of Process Systems. Institutt for kjemisk prosessteknologi, NTNU
Doktorgradsavhandling
Skogestad, Sigurd; Yelchuru, Ramprasad; Jaschke, Johannes. (2011) Optimal use of measurements for control, optimization and estimation using the loss method: Summary of existing results and some new.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurement Polynomials as Controlled Variables - Exercises.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurements Polynomials as Controlled Variables.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) NCO tracking and self-optimizing control in the context of real-time optimization. Journal of Process Control
Vitenskapelig artikkel
Jaschke, Johannes; Fikar, Miroslav; Skogestad, Sigurd. (2011) Self-optimizing Invariants in Dynamic Optimization. Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) Optimal operation by controlling the gradient to zero. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) Controlled Variables from Optimal Operation Data. Computer-aided chemical engineering
Vitenskapelig artikkel

2010

Jaschke, Johannes; Skogestad, Sigurd. (2010) Self-optimizing Control and NCO tracking in the Context of Real-Time Optimizaton. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel

2009

Jaschke, Johannes; Smedsrud, Helge; Skogestad, Sigurd; Manum, Henrik. (2009) Optimal Operation of a Waste Incineration Plant for Districk Heating. American Control Conference (ACC)
Vitenskapelig artikkel
Manum, Henrik; Skogestad, Sigurd; Jaschke, Johannes. (2009) Convex initialization of the H2-optimal static output feedback problem. American Control Conference (ACC)
Vitenskapelig artikkel

2008

Jaschke, Johannes; Narasimhan, Sridharakumar; Skogestad, Sigurd. (2008) Explicit real-time optimization. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel

Tidsskriftspublikasjoner

Turan, Evren Mert; Jäschke, Johannes. (2024) Closed-loop optimisation of neural networks for the design of feedback policies under uncertainty. Journal of Process Control
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2024) Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study. Journal of Process Control
Vitenskapelig artikkel
David de Oliveira, Rafael; Altamiranda, Edmary; Jäschke, Johannes. (2024) Fault detection and diagnosis on a gas-lifted oil well network control system. Computer-aided chemical engineering
Vitenskapelig artikkel
Fredriksen, Marius; David de Oliveira, Rafael; Martins Nakama, Caroline Satye; Jäschke, Johannes. (2024) Model Predictive Control of bioreactors based on a reformulation of dynamic metabolic network models. Computer-aided chemical engineering
Vitenskapelig artikkel
Krog, Halvor Aarnes; Jäschke, Johannes. (2024) A simple and fast robust nonlinear model predictive control heuristic using n-steps-ahead uncertainty predictions for back-off calculations. Journal of Process Control
Vitenskapelig artikkel
Cammann, Lucas Michael; Perera, Anushka; Alstad, Vidar; Jäschke, Johannes. (2024) Design and operational analysis of an alkaline water electrolysis plant powered by wind energy. International Journal of Hydrogen Energy
Vitenskapelig artikkel
Krog, Halvor Aarnes; Jäschke, Johannes. (2023) The Simple Solution for Nonlinear State Estimation of Ill-Conditioned Systems: The Normalized Unscented Kalman Filter . IFAC-PapersOnLine
Vitenskapelig artikkel
Turan, Evren Mert; Lia, Maren Sofie; Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2023) Experimental validation of modifier adaptation and Gaussian processes for real time optimisation. IFAC-PapersOnLine
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2023) A simple two-parameter steady-state detection algorithm: Concept and experimental validation. Computer-aided chemical engineering
Vitenskapelig artikkel
David de Oliveira, Rafael; Krog, Halvor Aarnes; Jäschke, Johannes. (2023) Sensor bias detection, isolation, and estimation in a subsea pump system. Computer-aided chemical engineering
Vitenskapelig artikkel
Krog, Halvor Aarnes; Jäschke, Johannes. (2023) Systematic Estimation of Noise Statistics for Nonlinear State Estimators by Parametric Uncertainty. Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
Mdoe, Zawadi Ntengua; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2023) Stability properties of the adaptive horizon multi-stage MPC. Journal of Process Control
Vitenskapelig artikkel
Bjorvand, Simen; Jäschke, Johannes. (2023) Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method. IEEE Control Systems Letters
Vitenskapelig artikkel
Tuveri, Andrea; Martins Nakama, Caroline Satye; Assumpcao Matias, Jose Otavio; Holck, Haakon Eng; Jäschke, Johannes; Imsland, Lars Struen. (2023) A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application. Computers and Chemical Engineering
Vitenskapelig artikkel
de Pádua Agripa Sales, Leonardo; Stanko Wolf, Milan Edvard; Jäschke, Johannes Ernst Peter. (2023) Superstructure optimization of subsea processing layouts. Journal of Petroleum Exploration and Production Technology
Vitenskapelig artikkel
Kungurtsev, Vyacheslav; Jäschke, Johannes. (2023) Pathfollowing for parametric mathematical programs with complementarity constraints. Optimization and Engineering
Vitenskapelig artikkel
Martins Nakama, Caroline Satye; Knudsen, Brage Rugstad; Tysland, Agnes Camilla; Jäschke, Johannes. (2023) A simple dynamic optimization-based approach for sizing thermal energy storage using process data. Energy
Vitenskapelig artikkel
de Azevedo Delou, Pedro; Assumpcao Matias, Jose Otavio; Jäschke, Johannes; de Souza, Maurício B.; Secchi, Argimiro R.. (2023) Steady-state real-time optimization using transient measurements and approximated Hammerstein dynamic model: A proof of concept in an experimental rig. Journal of Process Control
Vitenskapelig artikkel
Mdoe, Zawadi Ntengua; Thombre, Mandar Nitin; Jäschke, Johannes Ernst Peter. (2022) Data-driven online scenario selection for multistage NMPC. Computer-aided chemical engineering
Vitenskapelig artikkel
Tuveri, Andrea; Eng Holck, Haakon; Nakama, Caroline Satye; Matias, José O.A.; Jäschke, Johannes; Imsland, Lars Struen. (2022) Bioprocess Monitoring: A Moving Horizon Estimation Experimental Application. IFAC-PapersOnLine
Short communication
Krog, Halvor Aarnes; Jäschke, Johannes. (2022) Systematic Estimation of Noise Statistics for Nonlinear Kalman Filters. IFAC-PapersOnLine
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Oliveira, Julio P.C.; Le Roux, Galo A. C.; Jäschke, Johannes. (2022) Steady-state real-time optimization using transient measurements on an experimental rig . Journal of Process Control
Vitenskapelig artikkel
Martins Nakama, Caroline Satye; Maxwell, Peter; Jäschke, Johannes. (2022) Path-following for parametric MPCC: a flash tank case study. Computer-aided chemical engineering
Short communication
Assumpcao Matias, Jose Otavio; Yemane Ghebredngl, Salmon; Jäschke, Johannes. (2022) Health-aware control using hybrid models applied to a gas-lifted oil well network. Computer-aided chemical engineering
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Myrvang, Frida Bakken; Jäschke, Johannes. (2022) Implementation of Extremum Seeking Control in an Experimental Lab-Rig. IFAC-PapersOnLine
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2022) From-scratch development and improvement of a problem-based learning course: Nonlinear Model Predictive Control for Chemical and Biochemical Processes. IFAC-PapersOnLine
Vitenskapelig artikkel
Martins Nakama, Caroline Satye; Jäschke, Johannes. (2022) Analysis of control models based on dFBA for fed-batch bioreactors solved by interior-point methods. IFAC-PapersOnLine
Short communication
Nakama, Caroline Satye; Tysland, Agnes Camilla; Knudsen, Brage Rugstad; Jäschke, Johannes. (2022) Simultaneous Optimal Operation and Design of a Thermal Energy Storage Tank for District Heating Systems with Varying Energy Source. Computer-aided chemical engineering
Vitenskapelig artikkel
Turan, Evren Mert; Kannan, Rohit; Jäschke, Johannes. (2022) Design of PID controllers using semi-infinite programming. Computer-aided chemical engineering
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2022) Designing neural network control policies under parametric uncertainty: A Koopman operator approach. IFAC-PapersOnLine
Vitenskapelig artikkel
Sales, Leonardo de Pádua Agripa; Jäschke, Johannes; Stanko, Milan . (2021) Early field planning using optimisation and considering uncertainties - Study case: Offshore deepwater field in Brazil. Journal of Petroleum Science and Engineering
Vitenskapelig artikkel
Mdoe, Zawadi Ntengua; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2021) Adaptive Horizon Multistage Nonlinear Model Predictive Control. American Control Conference (ACC)
Vitenskapelig artikkel
Thombre, Mandar Nitin; (Joyce) Yu, Zhou; Jäschke, Johannes; Biegler, Lorenz T.. (2021) Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency. Computers and Chemical Engineering
Vitenskapelig artikkel
Jahren, Jan Henrik; Assumpcao Matias, Jose Otavio; Jaeschke, Johannes. (2021) Data-driven modelling of choke valve erosion using data simulated from a first principles model. Computer-aided chemical engineering
Vitenskapelig artikkel
Turan, Evren Mert; Jäschke, Johannes. (2021) Multiple shooting for training neural differential equations on time series. IEEE Control Systems Letters
Vitenskapelig artikkel
Liu, Xingheng; Assumpcao Matias, Jose Otavio; Jäschke, Johannes; Vatn, Jørn. (2021) Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation. Reliability Engineering & System Safety
Vitenskapelig artikkel
Rizwan, Md; Alstad, Vidar; Jäschke, Johannes. (2021) Design considerations for industrial water electrolyzer plants. International Journal of Hydrogen Energy
Vitenskapelig artikkel
Rúa, Jairo; Verheyleweghen, Adriaen; Jäschke, Johannes; Nord, Lars O.. (2021) Optimal scheduling of flexible thermal power plants with lifetime enhancement under uncertainty. Applied Thermal Engineering
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2020) Online Model Maintenance in Real-time Optimization Methods. Computers and Chemical Engineering
Vitenskapelig artikkel
Thombre, Mandar; Mdoe, Zawadi Ntengua; Jäschke, Johannes. (2020) Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters . Processes
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Ågotnes, Joachim Alexander Hauge; Jäschke, Johannes. (2020) Health-aware advanced control applied to a gas-lifted oil well network. IFAC-PapersOnLine
Vitenskapelig artikkel
Pérez-Piñeiro, David; Nikolakopoulou, Anastasia; Jäschke, Johannes; Braatz, Richard D.. (2020) Self-Optimizing Control of a Continuous-Flow Pharmaceutical Manufacturing Plant. IFAC-PapersOnLine
Vitenskapelig artikkel
Krishnamoorthy, Dinesh; Biegler, Lorenz T.; Jäschke, Johannes. (2020) Adaptive horizon economic nonlinear model predictive control. Journal of Process Control
Vitenskapelig artikkel
Bikmukhametov, Timur; Jäschke, Johannes. (2020) Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models. Computers and Chemical Engineering
Vitenskapelig artikkel
Suwartadi, I Dewa Putu Eka; Kungurtsev, Vyacheslav; Jäschke, Johannes. (2020) Fast sensitivity-based economic model predictive control for degenerate systems. Journal of Process Control
Vitenskapelig artikkel
Das, Tamal; Heggheim, Sindre Johan; Dudek, Marcin; Verheyleweghen, Adriaen; Jäschke, Johannes. (2019) Optimal Operation of a Subsea Separation System Including a Coalescence Based Gravity Separator Model and a Produced Water Treatment Section. Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
Bikmukhametov, Timur; Jäschke, Johannes. (2019) First principles and machine learning virtual flow metering: A literature review. Journal of Petroleum Science and Engineering
Vitenskapelig oversiktsartikkel/review
Das, Tamal; Jäschke, Johannes. (2019) Simplified First-Principles Model of a Compact Flotation Unit for Use in Optimization and Control. Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2019) Online Model Maintenance via Output Modifier Adaptation. Industrial & Engineering Chemistry Research
Vitenskapelig artikkel
Dias, Ana Carolina Spindola Rangel; Soares, Felipo Rojas; Jäschke, Johannes; de Souza, Mauricio Bezerra; Pinto, Jose Carlos. (2019) Extracting Valuable Information from Big Data for Machine Learning Control: An Application for a Gas Lift Process. Processes
Vitenskapelig artikkel
Thombre, Mandar; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2019) Data-driven Online Adaptation of the Scenario-tree in Multistage Model Predictive Control. IFAC-PapersOnLine
Vitenskapelig artikkel
Matias, José O.A.; Jäschke, Johannes. (2019) Using a neural network for estimating plant gradients in real-time optimization with modifier adaptation. IFAC-PapersOnLine
Vitenskapelig artikkel
Bikmukhametov, Timur; Jäschke, Johannes. (2019) Oil Production Monitoring using Gradient Boosting Machine Learning Algorithm. IFAC-PapersOnLine
Vitenskapelig artikkel
Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I.. (2018) Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs. Optimization
Vitenskapelig artikkel
Assumpcao Matias, Jose Otavio; Le Roux, Galo AC; Jaeschke, Johannes. (2018) Modifier adaptation for real-time optimization of a gas lifted well network. IFAC-PapersOnLine
Vitenskapelig artikkel
Suwartadi, Eka; Jäschke, Johannes. (2018) Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. IFAC-PapersOnLine
Vitenskapelig artikkel
Verheyleweghen, Adriaen; Jäschke, Johannes. (2018) Oil production optimization of several wells subject to choke degradation. IFAC-PapersOnLine
Vitenskapelig artikkel
Das, Tamal; Jäschke, Johannes. (2018) Modeling and control of an inline deoiling hydrocyclone *. IFAC-PapersOnLine
Vitenskapelig artikkel
Verheyleweghen, Adriaen; Jaeschke, Johannes. (2018) Self-Optimizing Control of an LNG Liquefaction Plant. Journal of Process Control
Vitenskapelig artikkel
Krishnamoorthy, Dinesh; Thombre, Mandar; Skogestad, Sigurd; Jäschke, Johannes. (2018) Data-driven Scenario Selection for Multistage Robust Model Predictive Control. IFAC-PapersOnLine
Vitenskapelig artikkel
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes. (2018) Improving Scenario Decomposition for Multistage MPC using a Sensitivity-based Path-following Algorithm. IEEE Control Systems Letters
Vitenskapelig artikkel
Krishnamoorthy, Dinesh; Suwartadi, Eka; Foss, Bjarne Anton; Skogestad, Sigurd; Jäschke, Johannes. (2018) 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
Vitenskapelig artikkel
Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes. (2018) Fast Economic Model Predictive Control for a Gas Lifted Well Network. IFAC-PapersOnLine
Vitenskapelig artikkel
Jaschke, Johannes; Cao, Yi; Kariwala, Vinay Kumar. (2017) Self-optimizing control - A survey. Annual Reviews in Control
Vitenskapelig oversiktsartikkel/review
Das, Tamal; Backi, Christoph Josef; Jaschke, Johannes. (2017) A model for subsea oil-water gravity separator to estimate unmeasured disturbances. Computer-aided chemical engineering
Vitenskapelig artikkel
Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems . SIAM Journal on Optimization
Vitenskapelig artikkel
Verheyleweghen, Adriaen; Jaeschke, Johannes. (2017) Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System. IFAC-PapersOnLine
Vitenskapelig artikkel
Suwartadi, Eka; Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) Sensitivity-Based Economic NMPC with a Path-Following Approach. Processes
Vitenskapelig artikkel
Das, Tamal; Jäschke, Johannes Ernst Peter. (2016) 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
Sammendrag/abstract
Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. (2016) Self-Optimizing Control of a Two-Stage Refrigeration Cycle. IFAC-PapersOnLine
Vitenskapelig artikkel
de Oliveira, Vinicius; Jäschke, Johannes Ernst Peter; Skogestad, Sigurd. (2016) Optimal operation of energy storage in buildings: Use of the hot water system. Journal of Energy Storage
Vitenskapelig artikkel
Das, Tamal; Tyvold, Preben Furst; Jäschke, Johannes Ernst Peter. (2016) Modelling and optimization of compact subsea liquid-liquid separation system. Computer-aided chemical engineering
Vitenskapelig artikkel
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2016) Null-space method for optimal operation of transient processes. IFAC-PapersOnLine
Vitenskapelig artikkel
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2015) Neighbouring-extremal control for steady-state optimization using noisy measurements. IFAC-PapersOnLine
Vitenskapelig artikkel
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2015) An autonomous approach for driving systems towards their limit: An intelligent adaptive anti-slug control system for production maximization. IFAC-PapersOnLine
Vitenskapelig artikkel
Graciano, Jose Eduardo A; Jaschke, Johannes; Le Roux, Galo AC; Biegler, LT. (2015) Integrating self-optimizing control and real-time optimization using zone control MPC. Journal of Process Control
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2014) A self-optimizing strategy for optimal operation of a preheating train for a crude oil unit. Computer-aided chemical engineering
Vitenskapelig artikkel
Jaschke, Johannes; Yang, X; Biegler, LT. (2014) Fast economic model predictive control based on NLP-sensitivities. Journal of Process Control
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2014) Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required. Computers and Chemical Engineering
Vitenskapelig artikkel
Minasidis, Vladimiros; Jaschke, Johannes; Skogestad, Sigurd. (2013) , Economic Plantwide Control: Automated Controlled Variable Selection for a Reactor-Separator-Recycle Process. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2013) Using Process Data for Finding Self-Optimizing Controlled Variables. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2013) Dynamic Online Optimization of a House Heating System in a Fluctuating Energy Price Scenario. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2012) Optimal controlled variables for polynomial systems. Journal of Process Control
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2012) Economically Optimal Controlled Variables for Parallel Units - Application to Chemical Reactors. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) NCO tracking and self-optimizing control in the context of real-time optimization. Journal of Process Control
Vitenskapelig artikkel
Jaschke, Johannes; Fikar, Miroslav; Skogestad, Sigurd. (2011) Self-optimizing Invariants in Dynamic Optimization. Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) Optimal operation by controlling the gradient to zero. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) Controlled Variables from Optimal Operation Data. Computer-aided chemical engineering
Vitenskapelig artikkel
Jaschke, Johannes; Skogestad, Sigurd. (2010) Self-optimizing Control and NCO tracking in the Context of Real-Time Optimizaton. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel
Jaschke, Johannes; Smedsrud, Helge; Skogestad, Sigurd; Manum, Henrik. (2009) Optimal Operation of a Waste Incineration Plant for Districk Heating. American Control Conference (ACC)
Vitenskapelig artikkel
Manum, Henrik; Skogestad, Sigurd; Jaschke, Johannes. (2009) Convex initialization of the H2-optimal static output feedback problem. American Control Conference (ACC)
Vitenskapelig artikkel
Jaschke, Johannes; Narasimhan, Sridharakumar; Skogestad, Sigurd. (2008) Explicit real-time optimization. Elsevier IFAC Publications / IFAC Proceedings series
Vitenskapelig artikkel

Del av bok/rapport

Tuhi, Farhana Yasmine; Fredriksen, Marius; Jäschke, Johannes; Bucelli, Marta; Liu, Yiliu. (2024) Accidents Review And Control Assessment For Reliable Operation Of PEM Water Electrolyzer Stacks. Polish Safety and Reliability Association
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Sales, Leonardo; Jäschke, Johannes; Stanko, Milan . (2022) Designing Subsea Processing Systems Using a Hybrid Genetic Algorithm. The American Society of Mechanical Engineers (ASME)
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Mdoe, Zawadi Ntengua; Thombre, Mandar Nitin; Jäschke, Johannes. (2022) Data-driven online scenario selection for multistage NMPC. Elsevier
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Turan, Evren Mert; Jäschke, Johannes. (2021) Classification of undesirable events in oil well operation. IEEE conference proceedings
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Thombre, Mandar; Prakash, Sandeep; Knudsen, Brage Rugstad; Jäschke, Johannes. (2020) Optimizing the Capacity of Thermal Energy Storage in Industrial Clusters. Elsevier
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes. (2019) Combined Maintenance Scheduling and Production Optimization. Research Publishing Services
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Bikmukhametov, Timur; Stanko, Milan ; Jäschke, Johannes. (2018) Statistical analysis of effect of sensor degradation and heat transfer modeling on multiphase flowrate estimates from a virtual flow meter. Society of Petroleum Engineers
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Skogestad, Sigurd; Yelchuru, Ramprasad; Jaschke, Johannes. (2011) Optimal use of measurements for control, optimization and estimation using the loss method: Summary of existing results and some new.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurement Polynomials as Controlled Variables - Exercises.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurements Polynomials as Controlled Variables.
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Rapport

Jaschke, Johannes. (2011) Invariants for Optimal Operation of Process Systems. Institutt for kjemisk prosessteknologi, NTNU
Doktorgradsavhandling

Undervisning

Emner

Formidling