2026

• Cammann, Lucas Michael; Perera, Anushka; Alstad, Vidar; Jäschke, Johannes. (2026) An Advanced Regulatory Control Structure for the Flexible Operation of Alkaline Water Electrolyzers in the Day-Ahead Electricity Market. Industrial & Engineering Chemistry Research
  Academic article
• Cammann, Lucas Michael; Jäschke, Johannes; Skogestad, Sigurd. (2026) Modeling, Control, and Estimation of Alkaline Water Electrolyzers. Norges teknisk-naturvitenskapelige universitet Norges teknisk-naturvitenskapelige universitet
  Doctoral dissertation

2025

• Rebello, Carine de Menezes; Jäschke, Johannes Ernst Peter; Nogueira, Idelfonso B. R.. (2025) Digital Twin for Autonomous Decision-Making in Gas Lift Operations: Improving Reliability and Adaptability. IFAC-PapersOnLine
  Academic article
• Cammann, Lucas Michael; Jäschke, Johannes Ernst Peter. (2025) State estimation for gas purity monitoring and control in water electrolysis systems. IFAC-PapersOnLine
  Academic article
• Kumaraswamy, Archana; Turan, Evren Mert; Jäschke, Johannes Ernst Peter. (2025) Optimal inventory control for bottleneck isolation in general processes. Journal of Process Control
  Academic article
• Turan, Evren Mert; Mdoe, Zawadi Ntengua; Jäschke, Johannes Ernst Peter. (2025) One-step convex model predictive control using convex cost-to-go surrogates. Computers and Chemical Engineering
  Academic article
• Turan, Evren Mert; Jäschke, Johannes Ernst Peter; Kannan, Rohit. (2025) Bounding-focused discretization methods for the global optimization of nonconvex semi-infinite programs. Computational optimization and applications
  Academic article
• Bjorvand, Simen; Jäschke, Johannes Ernst Peter; Stechlinski, Peter. (2025) Generalized Derivatives of Nonsmooth Discrete-Time Systems. SIAM Journal on Applied Dynamical Systems
  Academic article
• Bjorvand, Simen; Jäschke, Johannes Ernst Peter. (2025) Fast decentralized multi-stage model predictive control using sensitivity-based path-following and a nonsmooth Newton method. Journal of Process Control
  Academic article
• Dannappel, Lisa Marie; Cammann, Lucas Michael; You, Shi; Zong, Yi; Jäschke, Johannes Ernst Peter. (2025) Design of wind-powered alkaline electrolyzers: Balancing economic performance, degradation, and safety. Energy Conversion and Management
  Academic article
• Cammann, Lucas Michael; Jäschke, Johannes Ernst Peter. (2025) Model predictive control of alkaline water electrolyzers with storage constraints. IFAC-PapersOnLine
  Academic article
• Bjorvand, Simen; Jäschke, Johannes. (2025) A parametric sensitivity method for Arrival Cost design in nonlinear Moving Horizon Estimation. Journal of Process Control
  Academic article
• Fredriksen, Marius; Jäschke, Johannes. (2025) Advanced Regulatory Control Structure for Proton Exchange Membrane Water Electrolysis Systems. Systems and Control Transactions (SCT)
  Academic article
• Krog, Halvor Aarnes; Jäschke, Johannes. (2025) A numerically stable unscented transformation with optimal tuning parameters for high-dimensional systems. Journal of Process Control
  Academic article
• Mdoe, Zawadi Ntengua; Jäschke, Johannes. (2025) Sensitivity-based scenario selection for multi-stage MPC along principal components. Computers and Chemical Engineering
  Academic article
• Matias, José; Jäschke, Johannes. (2025) Balancing production maximization and equipment degradation: Experimental application of a health-aware controller. Control Engineering Practice
  Academic article
• Oliveira, Rafael David de; Jäschke, Johannes. (2025) Fault location aware state estimation on a lab-scale gas-lift production system. IEEE conference proceedings
  Academic article
• Oliveira, Rafael David de; Altamiranda, Edmary; Mathisen, Gjermund; Jäschke, Johannes. (2025) A simple model for control and optimisation of a produced water re-injection facility. Systems and Control Transactions (SCT)
  Academic article

2024

• 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
  Academic article
• 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
  Academic article
• Turan, Evren Mert; Jäschke, Johannes. (2024) Closed-loop optimisation of neural networks for the design of feedback policies under uncertainty. Journal of Process Control
  Academic article
• 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.
  Academic chapter/article/Conference paper
• Cammann, Lucas Michael; Alves, Erick Fernando; Jäschke, Johannes. (2024) Dynamic minimum loads for FCR market participation of alkaline water electrolyzers.
  Academic chapter/article/Conference paper
• 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
  Academic article
• Oliveira, Rafael David de; Jäschke, Johannes Ernst Peter. (2024) Integration of time scales in health-aware control. IFAC-PapersOnLine
  Academic article
• Cammann, Lucas Michael; Jäschke, Johannes Ernst Peter. (2024) Robust PID controller tuning using bilevel optimization. IFAC-PapersOnLine
  Academic article
• Cammann, Lucas Michael; Jäschke, Johannes Ernst Peter. (2024) A simple constraint-switching control structure for flexible operation of an alkaline water electrolyzer. IFAC-PapersOnLine
  Academic article
• Oliveira, Rafael David de; Altamiranda, Edmary; Jäschke, Johannes. (2024) Fault detection and diagnosis on a gas-lifted oil well network control system. Computer-aided chemical engineering
  Academic article
• Fredriksen, Marius; Oliveira, Rafael David de; Nakama, Caroline Satye Martins; Jäschke, Johannes. (2024) Model Predictive Control of bioreactors based on a reformulation of dynamic metabolic network models. Computer-aided chemical engineering
  Academic article

2023

• Sales, Leonardo de Pádua Agripa; Wolf, Milan Edvard Stanko; Jäschke, Johannes Ernst Peter. (2023) Superstructure optimization of subsea processing layouts. Journal of Petroleum Exploration and Production Technology
  Academic article
• Tuveri, Andrea; Nakama, Caroline Satye Martins; Matias, Jose Otavio Assumpcao; 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
  Academic article
• Turan, Evren Mert; Jäschke, Johannes. (2023) A simple two-parameter steady-state detection algorithm: Concept and experimental validation. Computer-aided chemical engineering
  Academic article
• Turan, Evren Mert; Lia, Maren Sofie; Matias, Jose Otavio Assumpcao; Jäschke, Johannes. (2023) Experimental validation of modifier adaptation and Gaussian processes for real time optimisation. IFAC-PapersOnLine
  Academic article
• Nakama, Caroline Satye Martins; 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
• Oliveira, Rafael David de; Krog, Halvor Aarnes; Jäschke, Johannes. (2023) Sensor bias detection, isolation, and estimation in a subsea pump system. Computer-aided chemical engineering
  Academic article
• Krog, Halvor Aarnes; Jäschke, Johannes. (2023) The Simple Solution for Nonlinear State Estimation of Ill-Conditioned Systems: The Normalized Unscented Kalman Filter. IFAC-PapersOnLine
  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
• Krog, Halvor Aarnes; Jäschke, Johannes. (2023) Systematic Estimation of Noise Statistics for Nonlinear State Estimators by Parametric Uncertainty. Industrial & Engineering Chemistry Research
  Academic article
• Bjorvand, Simen; Jäschke, Johannes. (2023) Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method. IEEE Control Systems Letters
  Academic article
• Kungurtsev, Vyacheslav; Jäschke, Johannes. (2023) Pathfollowing for parametric mathematical programs with complementarity constraints. Optimization and Engineering
  Academic article
• Delou, Pedro de Azevedo; Matias, Jose Otavio Assumpcao; Jäschke, Johannes; Souza, Maurício B. de; 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
  Academic article

2022

• 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
• Matias, Jose Otavio Assumpcao; Oliveira, Julio P.C.; Roux, Galo A. C. Le; Jäschke, Johannes. (2022) Steady-state real-time optimization using transient measurements on an experimental rig. Journal of Process Control
  Academic article
• Mdoe, Zawadi Ntengua; Thombre, Mandar Nitin; Jäschke, Johannes. (2022) Data-driven online scenario selection for multistage NMPC.
  Academic chapter/article/Conference paper
• Tuveri, Andrea; Holck, Haakon Eng; Nakama, Caroline Satye; Matias, José O.A.; Jäschke, Johannes; Imsland, Lars Struen. (2022) Bioprocess Monitoring: A Moving Horizon Estimation Experimental Application. IFAC-PapersOnLine
  Academic article
• Nakama, Caroline Satye Martins; Jäschke, Johannes. (2022) Analysis of control models based on dFBA for fed-batch bioreactors solved by interior-point methods. IFAC-PapersOnLine
  Academic article
• Nakama, Caroline Satye Martins; Maxwell, Peter; Jäschke, Johannes. (2022) Path-following for parametric MPCC: a flash tank case study. Computer-aided chemical engineering
  Academic article
• 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
• Matias, Jose Otavio Assumpcao; 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
• Matias, Jose Otavio Assumpcao; Myrvang, Frida Bakken; Jäschke, Johannes. (2022) Implementation of Extremum Seeking Control in an Experimental Lab-Rig. IFAC-PapersOnLine
  Academic article
• Sales, Leonardo; Jäschke, Johannes; Stanko, Milan. (2022) Designing Subsea Processing Systems Using a Hybrid Genetic Algorithm.
  Academic chapter/article/Conference paper
• Matias, Jose Otavio Assumpcao; Ghebredngl, Salmon Yemane; Jäschke, Johannes. (2022) Health-aware control using hybrid models applied to a gas-lifted oil well network. Computer-aided chemical engineering
  Academic article
• Krog, Halvor Aarnes; Jäschke, Johannes. (2022) Systematic Estimation of Noise Statistics for Nonlinear Kalman Filters. IFAC-PapersOnLine
  Academic article

2021

• Liu, Xingheng; Matias, Jose Otavio Assumpcao; Jäschke, Johannes; Vatn, Jørn. (2021) Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation. Reliability Engineering & System Safety
  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
• Jahren, Jan Henrik; Matias, Jose Otavio Assumpcao; Jaeschke, Johannes. (2021) Data-driven modelling of choke valve erosion using data simulated from a first principles model. Computer-aided chemical engineering
  Academic article
• Thombre, Mandar Nitin; Yu, Zhou (Joyce); Jäschke, Johannes; Biegler, Lorenz T.. (2021) Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency. Computers and Chemical Engineering
  Academic article
• Turan, Evren Mert; Jäschke, Johannes. (2021) Multiple shooting for training neural differential equations on time series. IEEE Control Systems Letters
  Academic article
• Mdoe, Zawadi Ntengua; Krishnamoorthy, Dinesh; Jäschke, Johannes. (2021) Adaptive Horizon Multistage Nonlinear Model Predictive Control. American Control Conference (ACC)
  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
• 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) Classification of undesirable events in oil well operation.
  Academic chapter/article/Conference paper

2020

• Thombre, Mandar; Prakash, Sandeep; Knudsen, Brage Rugstad; Jäschke, Johannes. (2020) Optimizing the Capacity of Thermal Energy Storage in Industrial Clusters.
  Academic chapter/article/Conference paper
• Thombre, Mandar; Mdoe, Zawadi Ntengua; Jäschke, Johannes. (2020) Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters. Processes
  Academic article
• Matias, Jose Otavio Assumpcao; Ågotnes, Joachim Alexander Hauge; Jäschke, Johannes. (2020) Health-aware advanced control applied to a gas-lifted oil well network. IFAC-PapersOnLine
  Academic article
• Krishnamoorthy, Dinesh; Biegler, Lorenz T.; Jäschke, Johannes. (2020) Adaptive horizon economic nonlinear model predictive control. Journal of Process Control
  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
• 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
• Matias, Jose Otavio Assumpcao; Jäschke, Johannes. (2020) Online Model Maintenance in Real-time Optimization Methods. Computers and Chemical Engineering
  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

2019

• 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
• 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
• Dias, Ana Carolina Spindola Rangel; Soares, Felipo Rojas; Jäschke, Johannes; Souza, Mauricio Bezerra de; Pinto, Jose Carlos. (2019) Extracting Valuable Information from Big Data for Machine Learning Control: An Application for a Gas Lift Process. Processes
  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
• Matias, Jose Otavio Assumpcao; Jäschke, Johannes. (2019) Online Model Maintenance via Output Modifier Adaptation. 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
• Bikmukhametov, Timur; Jäschke, Johannes. (2019) Oil Production Monitoring using Gradient Boosting Machine Learning Algorithm. IFAC-PapersOnLine
  Academic article
• Verheyleweghen, Adriaen; Srivastav, Himanshu; Barros, Anne; Jäschke, Johannes. (2019) Combined Maintenance Scheduling and Production Optimization.
  Academic chapter/article/Conference paper
• 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

2018

• Das, Tamal; Jäschke, Johannes. (2018) Modeling and control of an inline deoiling hydrocyclone *. 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
• 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
• Verheyleweghen, Adriaen; Jäschke, Johannes. (2018) Oil production optimization of several wells subject to choke degradation. IFAC-PapersOnLine
  Academic article
• Verheyleweghen, Adriaen; Jaeschke, Johannes. (2018) Self-Optimizing Control of an LNG Liquefaction Plant. Journal of Process Control
  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
• Stechlinski, Peter; Jaeschke, Johannes; Barton, Paul I.. (2018) Generalized sensitivity analysis of nonlinear programs using a sequence of quadratic programs. Optimization
  Academic article
• Suwartadi, Eka; Krishnamoorthy, Dinesh; Jaeschke, Johannes. (2018) Fast Economic Model Predictive Control for a Gas Lifted Well Network. IFAC-PapersOnLine
  Academic article
• Matias, Jose Otavio Assumpcao; Roux, Galo AC Le; Jaeschke, Johannes. (2018) Modifier adaptation for real-time optimization of a gas lifted well network. 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.
  Academic chapter/article/Conference paper
• Suwartadi, Eka; Jäschke, Johannes. (2018) Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP. IFAC-PapersOnLine
  Academic article

2017

• 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
• Jaschke, Johannes; Cao, Yi; Kariwala, Vinay Kumar. (2017) Self-optimizing control - A survey. Annual Reviews in Control
  Academic literature review
• Suwartadi, Eka; Kungurtsev, Vyacheslav; Jaschke, Johannes. (2017) Sensitivity-Based Economic NMPC with a Path-Following Approach. Processes
  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
• Verheyleweghen, Adriaen; Jaeschke, Johannes. (2017) Framework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression System. IFAC-PapersOnLine
  Academic article

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
• Oliveira, Vinicius de; Jaschke, Johannes; Skogestad, Sigurd. (2016) Null-space method for optimal operation of transient processes. IFAC-PapersOnLine
  Academic article
• Oliveira, Vinicius de; 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
• Verheyleweghen, Adriaen; Jäschke, Johannes Ernst Peter. (2016) Self-Optimizing Control of a Two-Stage Refrigeration Cycle. IFAC-PapersOnLine
  Academic article

2015

• Oliveira, Vinicius de; 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
• Oliveira, Vinicius de; Jaschke, Johannes; Skogestad, Sigurd. (2015) Neighbouring-extremal control for steady-state optimization using noisy measurements. IFAC-PapersOnLine
  Academic article
• Graciano, Jose Eduardo A; Jaschke, Johannes; Roux, Galo AC Le; Biegler, LT. (2015) Integrating self-optimizing control and real-time optimization using zone control MPC. Journal of Process Control
  Academic article

2014

• 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; 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; Yang, X; Biegler, LT. (2014) Fast economic model predictive control based on NLP-sensitivities. Journal of Process Control
  Academic article

2013

• 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. (2013) Using Process Data for Finding Self-Optimizing Controlled Variables. Elsevier IFAC Publications / IFAC Proceedings series
  Academic article
• Oliveira, Vinicius de; 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

2012

• 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. (2012) Optimal controlled variables for polynomial systems. Journal of Process Control
  Academic article

2011

• 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. (2011) Invariants for Optimal Operation of Process Systems. Institutt for kjemisk prosessteknologi, NTNU Institutt for kjemisk prosessteknologi, NTNU
  Doctoral dissertation
• Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurements Polynomials as Controlled Variables.
  Academic chapter/article/Conference paper
• 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) Optimal operation by controlling the gradient to zero. Elsevier IFAC Publications / IFAC Proceedings series
  Academic article
• Jaschke, Johannes; Skogestad, Sigurd. (2011) Measurement Polynomials as Controlled Variables - Exercises.
  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; Skogestad, Sigurd. (2011) Controlled Variables from Optimal Operation Data. Computer-aided chemical engineering
  Academic article

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