Johannes Jäschke

31 papers C 4Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bounding-focused discretization methods for the global optimization of nonconvex semi-infinite programs. Comput. Optim. Appl. Evren Mert Turan, Johannes Jäschke, Rohit Kannan
2025	J	`jnl`	Generalized Derivatives of Nonsmooth Discrete-Time Systems. SIAM J. Appl. Dyn. Syst. Simen Bjorvand, Johannes Jäschke, Peter Stechlinski
2025	J	`jnl`	One-step convex model predictive control using convex cost-to-go surrogates. Comput. Chem. Eng. Evren Mert Turan, Zawadi Mdoe, Johannes Jäschke
2025	J	`jnl`	Sensitivity-based scenario selection for multi-stage MPC along principal components. Comput. Chem. Eng. Zawadi Mdoe, Johannes Jäschke
2025	J	`jnl`	State estimation for gas purity monitoring and control in water electrolysis systems. CoRR Lucas Cammann, Johannes Jäschke
2024	J	`jnl`	Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study. CoRR Evren Mert Turan, Johannes Jäschke
2024	C	`conf`	Dynamic minimum loads for FCR market participation of alkaline water electrolyzers. IECON Lucas Cammann, Erick Fernando Alves, Johannes Jäschke
2023	J	`jnl`	A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application. Comput. Chem. Eng. Andrea Tuveri, Caroline S. M. Nakama, José Matias, Haakon Eng Holck, Johannes Jäschke, Lars Imsland, Nadav Bar
2023	J	`jnl`	Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry. CoRR Carine Menezes Rebello, Johannes Jäschke, Idelfonso B. R. Nogueira
2023	J	`jnl`	Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method. IEEE Control. Syst. Lett. Simen Bjorvand, Johannes Jäschke
2023	J	`jnl`	Learning convex objectives to reduce the complexity of model predictive control. CoRR Evren Mert Turan, Zawadi Mdoe, Johannes Jäschke
2023	J	`jnl`	Stability Properties of the Adaptive Horizon Multi-Stage MPC. CoRR Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke
2022	—	`conf`	Convolutional Neural Network as a Steady-state Detector for Real-time Optimization. ECC Vinh Phuc Bui Nguyen, José Matias, Johannes Jäschke
2022	J	`jnl`	Gibbs sampler for noisy Transformed Gamma process: Inference and remaining useful life estimation. Reliab. Eng. Syst. Saf. Xingheng Liu, José Matias, Johannes Jäschke, Jørn Vatn
2022	J	`jnl`	Hybrid Machine Learning Modeling of Engineering Systems - A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study. CoRR Timur Bikmukhametov, Johannes Jäschke
2022	J	`jnl`	Multiple Shooting for Training Neural Differential Equations on Time Series. IEEE Control. Syst. Lett. Evren Mert Turan, Johannes Jäschke
2021	C	`conf`	Adaptive Horizon Multistage Nonlinear Model Predictive Control. ACC Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke
2021	J	`jnl`	Multiple shooting with neural differential equations. CoRR Evren Mert Turan, Johannes Jäschke
2021	J	`jnl`	Online model maintenance in real-time optimization methods. Comput. Chem. Eng. José Matias, Johannes Jäschke
2021	J	`jnl`	Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency. Comput. Chem. Eng. Mandar Thombre, Zhou (Joyce) Yu, Johannes Jäschke, Lorenz T. Biegler
2021	J	`jnl`	Steady-state Real-time Optimization Using Transient Measurements on an Experimental Rig. CoRR José Matias, Julio P. C. Oliveira, Galo A. C. Le Roux, Johannes Jäschke
2020	J	`jnl`	Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models. Comput. Chem. Eng. Timur Bikmukhametov, Johannes Jäschke
2019	—	`conf`	Multistage Model Predictive Control with Online Scenario Tree Update using Recursive Bayesian Weighting. ECC Krishnamoorthy Dinesh, Sigurd Skogestad, Johannes Jäschke
2018	J	`jnl`	Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm. IEEE Control. Syst. Lett. Krishnamoorthy Dinesh, Eka Suwartadi, Bjarne Foss, Sigurd Skogestad, Johannes Jäschke
2017	J	`jnl`	A Predictor-Corrector Path-Following Algorithm for Dual-Degenerate Parametric Optimization Problems. SIAM J. Optim. Vyacheslav Kungurtsev, Johannes Jäschke
2017	—	`conf`	Pathfollowing approach for a sensitivity based moving horizon estimator. CDC Tamal Das, Johannes Jäschke
2017	J	`jnl`	Self-optimizing control - A survey. Annu. Rev. Control. Johannes Jäschke, Yi Cao, Vinay Kariwala
2014	J	`jnl`	Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required. Comput. Chem. Eng. Johannes Jäschke, Sigurd Skogestad
2011	—	`conf`	Self-optimizing invariants in dynamic optimization. CDC/ECC Johannes Jäschke, Miroslav Fikar, Sigurd Skogestad
2009	C	`conf`	Convex initialization of the H2-optimal static output feedback problem. ACC Henrik Manum, Sigurd Skogestad, Johannes Jäschke
2009	C	`conf`	Optimal operation of a waste incineration plant for district heating. ACC Johannes Jäschke, Helge Smedsrud, Sigurd Skogestad, Henrik Manum