Johannes Jäschke

About

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

Publications

2018

Verheyleweghen, Adriaen; Jaeschke, Johannes. (2018) Self-Optimizing Control of an LNG Liquefaction Plant. Journal of Process Control
Academic article
Das, Tamal; Jäschke, Johannes. (2018) Modeling and control of an inline deoiling hydrocyclone *. IFAC-PapersOnLine
Academic article
Suwartadi, Eka; Jäschke, Johannes. (2018) Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. IFAC-PapersOnLine
Academic article
Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I.. (2018) Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs. Optimization
Academic article
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
Academic article
Krishnamoorthy, Dinesh; Thombre, Mandar; Skogestad, Sigurd; Jäschke, Johannes. (2018) Data-driven Scenario Selection for Multistage Robust Model Predictive Control. IFAC-PapersOnLine
Academic article
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
Academic chapter/article/Conference paper
Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes. (2018) Fast Economic Model Predictive Control for a Gas Lifted Well Network. IFAC-PapersOnLine
Academic article
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
Academic article
Verheyleweghen, Adriaen; Jäschke, Johannes. (2018) Oil production optimization of several wells subject to choke degradation. IFAC-PapersOnLine
Academic article
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
Academic article

2017

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

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
Abstract
Das, Tamal; Tyvold, Preben Furst; Jäschke, Johannes Ernst Peter. (2016) Modelling and optimization of compact subsea liquid-liquid separation system. Computer-aided chemical engineering
Academic article
Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. (2016) Self-Optimizing Control of a Two-Stage Refrigeration Cycle. IFAC-PapersOnLine
Academic article
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
Academic article
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2016) Null-space method for optimal operation of transient processes. IFAC-PapersOnLine
Academic article

2015

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
Academic article
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
Academic article
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2015) Neighbouring-extremal control for steady-state optimization using noisy measurements. IFAC-PapersOnLine
Academic article

2014

Jaschke, Johannes; Skogestad, Sigurd. (2014) Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required. Computers and Chemical Engineering
Academic article
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
Academic article
Jaschke, Johannes; Yang, X; Biegler, LT. (2014) Fast economic model predictive control based on NLP-sensitivities. Journal of Process Control
Academic article

2013

Jaschke, Johannes; Skogestad, Sigurd. (2013) Using Process Data for Finding Self-Optimizing Controlled Variables. Elsevier IFAC Publications / IFAC Proceedings series
Academic article
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
Academic article
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
Academic article

2012

Jaschke, Johannes; Skogestad, Sigurd. (2012) Optimal controlled variables for polynomial systems. Journal of Process Control
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2012) Economically Optimal Controlled Variables for Parallel Units - Application to Chemical Reactors. Elsevier IFAC Publications / IFAC Proceedings series
Academic article

2011

Jaschke, Johannes; Skogestad, Sigurd. (2011) Controlled Variables from Optimal Operation Data. Computer-aided chemical engineering
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2011) Optimal operation by controlling the gradient to zero. Elsevier IFAC Publications / IFAC Proceedings series
Academic article
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
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurement Polynomials as Controlled Variables - Exercises.
Academic chapter/article/Conference paper
Jaschke, Johannes; Skogestad, Sigurd. (2011) NCO tracking and self-optimizing control in the context of real-time optimization. Journal of Process Control
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurements Polynomials as Controlled Variables.
Academic chapter/article/Conference paper
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.
Academic chapter/article/Conference paper
Jaschke, Johannes. (2011) Invariants for Optimal Operation of Process Systems. Institutt for kjemisk prosessteknologi, NTNU
Doctoral dissertation

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
Academic article

2009

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

2008

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

Journal publications

Kungurtsev, Vyacheslav; Jäschke, Johannes. (2023) Pathfollowing for parametric mathematical programs with complementarity constraints. Optimization and Engineering
Academic article
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
Academic article
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
Academic article
Tuveri, Andrea; Nakama, Caroline Satye Martins; Matias, José O.A.; Eng Holck, Haakon; 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
Academic article
Bjorvand, Simen; Jäschke, Johannes. (2023) Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method. IEEE Control Systems Letters
Academic article
Mdoe, Zawadi Ntengua; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2023) Stability properties of the adaptive horizon multi-stage MPC. Journal of Process Control
Academic article
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
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
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
Turan, Evren Mert; Kannan, Rohit; Jäschke, Johannes. (2022) Design of PID controllers using semi-infinite programming. Computer-aided chemical engineering
Academic article
Turan, Evren Mert; Jäschke, Johannes. (2022) Designing neural network control policies under parametric uncertainty: A Koopman operator approach. IFAC-PapersOnLine
Academic article
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
Academic article
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
Academic article
Assumpcao Matias, Jose Otavio; Myrvang, Frida Bakken; Jäschke, Johannes. (2022) Implementation of Extremum Seeking Control in an Experimental Lab-Rig. IFAC-PapersOnLine
Academic article
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
Academic article
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
Academic article
Krog, Halvor Aarnes; Jäschke, Johannes. (2022) Systematic Estimation of Noise Statistics for Nonlinear Kalman Filters. IFAC-PapersOnLine
Academic article
Mdoe, Zawadi Ntengua; Thombre, Mandar Nitin; Jäschke, Johannes Ernst Peter. (2022) Data-driven online scenario selection for multistage NMPC. Computer-aided chemical engineering
Academic article
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
Academic article
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
Academic article
Mdoe, Zawadi Ntengua; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2021) Adaptive Horizon Multistage Nonlinear Model Predictive Control. American Control Conference (ACC)
Academic article
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
Academic article
Rizwan, Md; Alstad, Vidar; Jäschke, Johannes. (2021) Design considerations for industrial water electrolyzer plants. International Journal of Hydrogen Energy
Academic article
Turan, Evren Mert; Jäschke, Johannes. (2021) Multiple shooting for training neural differential equations on time series. IEEE Control Systems Letters
Academic article
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
Academic article
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
Academic article
Thombre, Mandar; Mdoe, Zawadi Ntengua; Jäschke, Johannes. (2020) Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters . Processes
Academic article
Suwartadi, I Dewa Putu Eka; Kungurtsev, Vyacheslav; Jäschke, Johannes. (2020) Fast sensitivity-based economic model predictive control for degenerate systems. Journal of Process Control
Academic article
Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2020) Online Model Maintenance in Real-time Optimization Methods. Computers and Chemical Engineering
Academic article
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
Academic article
Pérez-Piñeiro, David; Nikolakopoulou, Anastasia; Jäschke, Johannes; Braatz, Richard D.. (2020) Self-Optimizing Control of a Continuous-Flow Pharmaceutical Manufacturing Plant. IFAC-PapersOnLine
Academic article
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
Academic article
Krishnamoorthy, Dinesh; Biegler, Lorenz T.; Jäschke, Johannes. (2020) Adaptive horizon economic nonlinear model predictive control. Journal of Process Control
Academic article
Das, Tamal; Jäschke, Johannes. (2019) Simplified First-Principles Model of a Compact Flotation Unit for Use in Optimization and Control. Industrial & Engineering Chemistry Research
Academic article
Thombre, Mandar; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2019) Data-driven Online Adaptation of the Scenario-tree in Multistage Model Predictive Control. IFAC-PapersOnLine
Academic article
Assumpcao Matias, Jose Otavio; Jäschke, Johannes. (2019) Online Model Maintenance via Output Modifier Adaptation. Industrial & Engineering Chemistry Research
Academic article
Matias, José O.A.; Jäschke, Johannes. (2019) Using a neural network for estimating plant gradients in real-time optimization with modifier adaptation. IFAC-PapersOnLine
Academic article
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
Academic article
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
Academic article
Bikmukhametov, Timur; Jäschke, Johannes. (2019) First principles and machine learning virtual flow metering: A literature review. Journal of Petroleum Science and Engineering
Academic literature review
Bikmukhametov, Timur; Jäschke, Johannes. (2019) Oil Production Monitoring using Gradient Boosting Machine Learning Algorithm. IFAC-PapersOnLine
Academic article
Verheyleweghen, Adriaen; Jaeschke, Johannes. (2018) Self-Optimizing Control of an LNG Liquefaction Plant. Journal of Process Control
Academic article
Das, Tamal; Jäschke, Johannes. (2018) Modeling and control of an inline deoiling hydrocyclone *. IFAC-PapersOnLine
Academic article
Suwartadi, Eka; Jäschke, Johannes. (2018) Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. IFAC-PapersOnLine
Academic article
Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I.. (2018) Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs. Optimization
Academic article
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
Academic article
Krishnamoorthy, Dinesh; Thombre, Mandar; Skogestad, Sigurd; Jäschke, Johannes. (2018) Data-driven Scenario Selection for Multistage Robust Model Predictive Control. IFAC-PapersOnLine
Academic article
Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes. (2018) Fast Economic Model Predictive Control for a Gas Lifted Well Network. IFAC-PapersOnLine
Academic article
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
Academic article
Verheyleweghen, Adriaen; Jäschke, Johannes. (2018) Oil production optimization of several wells subject to choke degradation. IFAC-PapersOnLine
Academic article
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
Academic article
Suwartadi, Eka; Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) Sensitivity-Based Economic NMPC with a Path-Following Approach. Processes
Academic article
Verheyleweghen, Adriaen; Jaeschke, Johannes. (2017) Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System. IFAC-PapersOnLine
Academic article
Das, Tamal; Backi, Christoph Josef; Jaschke, Johannes. (2017) A model for subsea oil-water gravity separator to estimate unmeasured disturbances. Computer-aided chemical engineering
Academic article
Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems . SIAM Journal on Optimization
Academic article
Jaschke, Johannes; Cao, Yi; Kariwala, Vinay Kumar. (2017) Self-optimizing control - A survey. Annual Reviews in Control
Academic literature review
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
Abstract
Das, Tamal; Tyvold, Preben Furst; Jäschke, Johannes Ernst Peter. (2016) Modelling and optimization of compact subsea liquid-liquid separation system. Computer-aided chemical engineering
Academic article
Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. (2016) Self-Optimizing Control of a Two-Stage Refrigeration Cycle. IFAC-PapersOnLine
Academic article
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
Academic article
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2016) Null-space method for optimal operation of transient processes. IFAC-PapersOnLine
Academic article
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
Academic article
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
Academic article
de Oliveira, Vinicius; Jaschke, Johannes; Skogestad, Sigurd. (2015) Neighbouring-extremal control for steady-state optimization using noisy measurements. IFAC-PapersOnLine
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2014) Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required. Computers and Chemical Engineering
Academic article
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
Academic article
Jaschke, Johannes; Yang, X; Biegler, LT. (2014) Fast economic model predictive control based on NLP-sensitivities. Journal of Process Control
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2013) Using Process Data for Finding Self-Optimizing Controlled Variables. Elsevier IFAC Publications / IFAC Proceedings series
Academic article
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
Academic article
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
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2012) Optimal controlled variables for polynomial systems. Journal of Process Control
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2012) Economically Optimal Controlled Variables for Parallel Units - Application to Chemical Reactors. Elsevier IFAC Publications / IFAC Proceedings series
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2011) Controlled Variables from Optimal Operation Data. Computer-aided chemical engineering
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2011) Optimal operation by controlling the gradient to zero. Elsevier IFAC Publications / IFAC Proceedings series
Academic article
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
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2011) NCO tracking and self-optimizing control in the context of real-time optimization. Journal of Process Control
Academic article
Jaschke, Johannes; Skogestad, Sigurd. (2010) Self-optimizing Control and NCO tracking in the Context of Real-Time Optimizaton. Elsevier IFAC Publications / IFAC Proceedings series
Academic article
Manum, Henrik; Skogestad, Sigurd; Jaschke, Johannes. (2009) Convex initialization of the H2-optimal static output feedback problem. American Control Conference (ACC)
Academic article
Jaschke, Johannes; Smedsrud, Helge; Skogestad, Sigurd; Manum, Henrik. (2009) Optimal Operation of a Waste Incineration Plant for Districk Heating. American Control Conference (ACC)
Academic article
Jaschke, Johannes; Narasimhan, Sridharakumar; Skogestad, Sigurd. (2008) Explicit real-time optimization. Elsevier IFAC Publications / IFAC Proceedings series
Academic article

Part of book/report

Mdoe, Zawadi Ntengua; Thombre, Mandar Nitin; Jäschke, Johannes. (2022) Data-driven online scenario selection for multistage NMPC. Elsevier
Academic chapter/article/Conference paper
Sales, Leonardo; Jäschke, Johannes; Stanko, Milan . (2022) Designing Subsea Processing Systems Using a Hybrid Genetic Algorithm. The American Society of Mechanical Engineers (ASME)
Academic chapter/article/Conference paper
Turan, Evren Mert; Jäschke, Johannes. (2021) Classification of undesirable events in oil well operation. IEEE conference proceedings
Academic chapter/article/Conference paper
Thombre, Mandar; Prakash, Sandeep; Knudsen, Brage Rugstad; Jäschke, Johannes. (2020) Optimizing the Capacity of Thermal Energy Storage in Industrial Clusters. Elsevier
Academic chapter/article/Conference paper
Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes. (2019) Combined Maintenance Scheduling and Production Optimization. Research Publishing Services
Academic chapter/article/Conference paper
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
Academic chapter/article/Conference paper
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurement Polynomials as Controlled Variables - Exercises.
Academic chapter/article/Conference paper
Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurements Polynomials as Controlled Variables.
Academic chapter/article/Conference paper
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.
Academic chapter/article/Conference paper

Report

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

Teaching

Courses

Media

2022

Academic lecture

Stanko, Milan ; Sales, Leonardo; Jäschke, Johannes. (2022) Field layout optimization considering subsea processing. NTNU-UFRJ 3rd Workshop in BN Subsea Operations Consortium - Part 2 , COPPE Auditorium – room G-122, Technological Center, UFRJ – 2022-11-09 - 2022-11-09
Academic lecture

Nguyen, Vinh Phuc Bui; Matias, José O.A.; Jäschke, Johannes. (2022) Convolutional Neural Network as a Steady-state Detector for Real-time Optimization. 2022 European Control Conference 2022-07-12 - 2022-07-15
Lecture

Krishnamoorthy, Dinesh; Jäschke, Johannes Ernst Peter. (2022) Improving Computational Efficiency of Multi-Stage NMPC Using an Adaptive Horizon. American Institute of Chemical Engineers AIChE 2022 Annual Meeting , Phoenix, Arizona, US 2022-11-12 - 2022-11-18
Lecture

Martins Nakama, Caroline Satye; Tysland, Agnes Camilla; Knudsen, Brage Rugstad; Jäschke, Johannes Ernst Peter. (2022) Designing Thermal Energy Storage through Dynamic Optimization Using Process Data . American Institute of Chemical Engineers AIChE 2022 Annual Meeting , Phoenix, Arizona, US 2022-11-12 - 2022-11-18
Academic lecture

Turan, Evren Mert; Jäschke, Johannes. (2022) Neural network control policies for uncertain systems. Nordic Process Control Workshop 2022 2022-03-16 - 2022-03-18
Academic lecture

Turan, Evren Mert; Jäschke, Johannes. (2022) Online Steady and Transient State Detection using the Dickey-Fuller Test . 2022 AIChE Annual Meeting 2022-11-13 - 2022-11-18
Academic lecture

Turan, Evren Mert; Jäschke, Johannes; Kannan, Rohit. (2022) Improved Bounding Methods for Semi-Infinite Programs . INFORMS Annual Meeting 2022-10-16 - 2022-10-19
Academic lecture

Turan, Evren Mert; Jäschke, Johannes; Kannan, Rohit. (2022) Tighter Lower Bounds for Semi-Infinite Programming Using Parametric Sensitivity Theory. 2022 AIChE Annual Meeting 2022-11-13 - 2022-11-18
Academic lecture

Turan, Evren Mert; Jäschke, Johannes. (2022) Multiple shooting for training neural differential equations on time series. American Control Conference 2022 2022-06-08 - 2022-06-10

2020

Poster

Thombre, Mandar; Prakash, Sandeep; Knudsen, Brage Rugstad; Jäschke, Johannes. (2020) Optimizing the Capacity of Thermal Energy Storage in Industrial Clusters. ESCAPE 30 , Milan (Virtual) 2020-08-30 - 2020-09-02
Academic lecture

Thombre, Mandar; Kazi, Saif R.; Knudsen, Brage Rugstad; Biegler, Lorenz T; Jäschke, Johannes. (2020) An MPCC Approach to Robust Optimal Sizing of Thermal Energy Storage. AIChE AIChE Annual Meeting , San Francisco (virtual) 2020-11-15 - 2020-11-19

2019

Lecture

Jäschke, Johannes; Thombre, Mandar. (2019) A Data-driven approach for robust operation of energy storage systems. SINTEF Energi HighEFF Annual Consortium Meeting 2019 , Trondheim 2019-05-08 - 2019-05-09
Academic lecture

Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes. (2019) Combined Maintenance Scheduling and Production Optimization. ESREL 2019-09-23 - 2019-09-26
Academic lecture

Thombre, Mandar; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2019) Data-driven Online Adaption of the Scenario-tree in Multistage Model Predictive Control. International Federation of Automatic Control 12th IFAC-DYCOPS Conference , Florianópolis 2019-04-23 - 2019-04-26
Academic lecture

Thombre, Mandar; Jäschke, Johannes. (2019) Energy Savings using MPC on a Thermal Energy Storage unit for Heat Exchange in Industrial Clusters. 22nd Nordic Process Control Workshop , Lyngby 2019-08-22 - 2019-08-23