Johannes Jäschke

According to our database, Johannes Jäschke authored at least 25 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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., April, 2023

Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method.

Simen Bjorvand, Johannes Jäschke

IEEE Control. Syst. Lett., 2023

Learning convex objectives to reduce the complexity of model predictive control.

Evren Mert Turan, Zawadi Mdoe, 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

Stability Properties of the Adaptive Horizon Multi-Stage MPC.

Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke

CoRR, 2023

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

Multiple Shooting for Training Neural Differential Equations on Time Series.

Evren Mert Turan, Johannes Jäschke

IEEE Control. Syst. Lett., 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

Convolutional Neural Network as a Steady-state Detector for Real-time Optimization.

Vinh Phuc Bui Nguyen, José Matias, Johannes Jäschke

Proceedings of the European Control Conference, 2022

2021

Multiple shooting with neural differential equations.

Evren Mert Turan, Johannes Jäschke

CoRR, 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

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

Online model maintenance in real-time optimization methods.

José Matias, Johannes Jäschke

Comput. Chem. Eng., 2021

Adaptive Horizon Multistage Nonlinear Model Predictive Control.

Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke

Proceedings of the 2021 American Control Conference, 2021

2020

Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models.

Timur Bikmukhametov, Johannes Jäschke

Comput. Chem. Eng., 2020

2019

Multistage Model Predictive Control with Online Scenario Tree Update using Recursive Bayesian Weighting.

Krishnamoorthy Dinesh, Sigurd Skogestad, Johannes Jäschke

Proceedings of the 17th European Control Conference, 2019

2018

Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm.

Krishnamoorthy Dinesh, Eka Suwartadi, Bjarne Foss, Sigurd Skogestad, Johannes Jäschke

IEEE Control. Syst. Lett., 2018

2017

A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems.

Vyacheslav Kungurtsev, Johannes Jäschke

SIAM J. Optim., 2017

Self-optimizing control - A survey.

Johannes Jäschke, Yi Cao, Vinay Kariwala

Annu. Rev. Control., 2017

Pathfollowing approach for a sensitivity based moving horizon estimator.

Tamal Das, Johannes Jäschke

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2014

Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required.

Johannes Jäschke, Sigurd Skogestad

Comput. Chem. Eng., 2014

2011

Self-optimizing invariants in dynamic optimization.

Johannes Jäschke, Miroslav Fikar, Sigurd Skogestad

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2009

Convex initialization of the H2-optimal static output feedback problem.

Henrik Manum, Sigurd Skogestad, Johannes Jäschke

Proceedings of the American Control Conference, 2009

Optimal operation of a waste incineration plant for district heating.

Johannes Jäschke, Helge Smedsrud, Sigurd Skogestad, Henrik Manum

Proceedings of the American Control Conference, 2009