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Johannes Jäschke

Norwegian University of Science and Technology

Research Interests

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Articles (20)

Collaborators (4)

Jose Matias

Assistant Professor

Milan Stanko

Norwegian University of Science and Technology

Shi You

Technical University of Denmark

Yi Zong

Technical University of Denmark

ApplyKite TwinLearns as you apply

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Johannes Jäschke

Research Interests

Make your next move.

Explore related searches

Articles (20)

Collaborators (4)

Jose Matias

Milan Stanko

Shi You

Yi Zong

Make your next move.

Johannes Jäschke

Research Interests

Make your next move.

Explore related searches

Articles (20)

State-of-health–aware scheduling for balanced load sharing in wind electrolyzer systems

Design of wind-powered alkaline electrolyzers: Balancing economic performance, degradation, and safety

An Advanced Regulatory Control Structure for the Flexible Operation of Alkaline Water Electrolyzers in the Day-Ahead Electricity Market

Multi-stage Economic Nonlinear Model Predictive Control of bioreactors using dynamic flux balance analysis models

Balancing production maximization and equipment degradation: Experimental application of a health-aware controller

Fast decentralized multi-stage model predictive control using sensitivity-based path-following and a nonsmooth Newton method

One-step convex model predictive control using convex cost-to-go surrogates

Optimal inventory control for bottleneck isolation in general processes

A parametric sensitivity method for Arrival Cost design in nonlinear Moving Horizon Estimation

Sensitivity-based scenario selection for multi-stage MPC along principal components

Closed-loop training of static output feedback neural network controllers for large systems: A distillation case study

Systematic Estimation of Noise Statistics for Nonlinear State Estimators by Parametric Uncertainty

Closed-loop optimisation of neural networks for the design of feedback policies under uncertainty

A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application

A simple dynamic optimization-based approach for sizing thermal energy storage using process data

Improving Primal Decomposition for Multistage MPC Using an Extended Newton Method

Steady-state real-time optimization using transient measurements on an experimental rig

Multiple Shooting for Training Neural Differential Equations on Time Series

Early field planning using optimisation and considering uncertainties

Data-Driven Robust Optimal Operation of Thermal Energy Storage in Industrial Clusters

Collaborators (4)

Jose Matias

Milan Stanko

Shi You

Yi Zong

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