Optimal operation of a waste incineration plant for district heating. - Johannes Jäschke; Helge Smedsrud; Sigurd Skogestad; Henrik Manum (ACC, 2009)

Convex initialization of the H2-optimal static output feedback problem. - Henrik Manum; Sigurd Skogestad; Johannes Jäschke (ACC, 2009)

Self-optimizing invariants in dynamic optimization. - Johannes Jäschke; Miroslav Fikar; Sigurd Skogestad (CDC/ECC, 2011)

Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required. - Johannes Jäschke; Sigurd Skogestad (Comput. Chem. Eng., 2014)

Pathfollowing approach for a sensitivity based moving horizon estimator. - Tamal Das; Johannes Jäschke (CDC, 2017)

Self-optimizing control - A survey. - Johannes Jäschke; Yi Cao; Vinay Kariwala (Annu. Rev. Control., 2017)

A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems. - Vyacheslav Kungurtsev; Johannes Jäschke (SIAM J. Optim., 2017)

Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm. - Krishnamoorthy Dinesh 002; Eka Suwartadi; Bjarne Foss; Sigurd Skogestad; Johannes Jäschke (IEEE Control. Syst. Lett., 2018)

Multistage Model Predictive Control with Online Scenario Tree Update using Recursive Bayesian Weighting. - Krishnamoorthy Dinesh 002; Sigurd Skogestad; Johannes Jäschke (ECC, 2019)

Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models. - Timur Bikmukhametov; Johannes Jäschke (Comput. Chem. Eng., 2020)

Adaptive Horizon Multistage Nonlinear Model Predictive Control. - Zawadi Mdoe; Dinesh Krishnamoorthy 002; Johannes Jäschke (ACC, 2021)

Online model maintenance in real-time optimization methods. - José Matias; Johannes Jäschke (Comput. Chem. Eng., 2021)

Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency. - Mandar Thombre; Zhou (Joyce) Yu; Johannes Jäschke; Lorenz T. Biegler (Comput. Chem. Eng., 2021)

Steady-state Real-time Optimization Using Transient Measurements on an Experimental Rig. - José Matias; Julio P. C. Oliveira; Galo A. C. Le Roux; Johannes Jäschke (CoRR, 2021)

Multiple shooting with neural differential equations. - Evren Mert Turan; Johannes Jäschke (CoRR, 2021)

Convolutional Neural Network as a Steady-state Detector for Real-time Optimization. - Vinh Phuc Bui Nguyen; José Matias; Johannes Jäschke (ECC, 2022)

Hybrid Machine Learning Modeling of Engineering Systems - A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study. - Timur Bikmukhametov; Johannes Jäschke (CoRR, 2022)

Multiple Shooting for Training Neural Differential Equations on Time Series. - Evren Mert Turan; Johannes Jäschke (IEEE Control. Syst. Lett., 2022)

Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation. - Xingheng Liu; José Matias; Johannes Jäschke; Jørn Vatn (Reliab. Eng. Syst. Saf., 2022)

Stability Properties of the Adaptive Horizon Multi-Stage MPC. - Zawadi Mdoe; Dinesh Krishnamoorthy 002; Johannes Jäschke (CoRR, 2023)

Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry. - Carine Menezes Rebello; Johannes Jäschke; Idelfonso B. R. Nogueira (CoRR, 2023)

Learning convex objectives to reduce the complexity of model predictive control. - Evren Mert Turan; Zawadi Mdoe; Johannes Jäschke (CoRR, 2023)

Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method. - Simen Bjorvand; Johannes Jäschke (IEEE Control. Syst. Lett., 2023)

A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application. - Andrea Tuveri; Caroline S. M. Nakama; José Matias; Haakon Eng Holck; Johannes Jäschke; Lars Imsland; Nadav Bar (Comput. Chem. Eng., 2023)

Dynamic minimum loads for FCR market participation of alkaline water electrolyzers. - Lucas Cammann; Erick F. Alves; Johannes Jäschke (IECON, 2024)

Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study. - Evren Mert Turan; Johannes Jäschke (CoRR, 2024)

Sensitivity-based scenario selection for multi-stage MPC along principal components. - Zawadi Mdoe; Johannes Jäschke (Comput. Chem. Eng., 2025)

One-step convex model predictive control using convex cost-to-go surrogates. - Evren Mert Turan; Zawadi Mdoe; Johannes Jäschke (Comput. Chem. Eng., 2025)

Generalized Derivatives of Nonsmooth Discrete-Time Systems. - Simen Bjorvand; Johannes Jäschke; Peter Stechlinski (SIAM J. Appl. Dyn. Syst., 2025)

State estimation for gas purity monitoring and control in water electrolysis systems. - Lucas Cammann; Johannes Jäschke (CoRR, 2025)