Lukas Ortmann

Orcid: 0000-0002-7416-5823

According to our database1, Lukas Ortmann authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Hierarchical Provision of Distribution Grid Flexibility with Online Feedback Optimization.
CoRR, 2024

Tuning and Testing an Online Feedback Optimization Controller to Provide Curative Distribution Grid Flexibility.
CoRR, 2024

2023
Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors.
CoRR, 2023

Virtual Power Grid Reinforcement via Coordinated Volt/VAr Control.
CoRR, 2023

Deployment of an Online Feedback Optimization Controller for Reactive Power Flow Optimization in a Distribution Grid.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Providing Curative Distribution Grid Flexibility Using Online Feedback Optimization.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

2022
Online Feedback Optimization for Transmission Grid Operation.
CoRR, 2022

Real-time Curative Actions for Power Systems via Online Feedback Optimization.
CoRR, 2022

Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression.
CoRR, 2022

Real-time Projected Gradient-based Nonlinear Model Predictive Control with an Application to Anesthesia Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Non-Convex Feedback Optimization With Input and Output Constraints.
IEEE Control. Syst. Lett., 2021

Adaptive Real-Time Grid Operation via Online Feedback Optimization with Sensitivity Estimation.
CoRR, 2021

2020
Limit Behavior and the Role of Augmentation in Projected Saddle Flows for Convex Optimization.
CoRR, 2020

2019
Fully Distributed Peer-to-Peer Optimal Voltage Control with Minimal Model Requirements.
CoRR, 2019

Experimental Validation of Feedback Optimization in Power Distribution Grids.
CoRR, 2019

Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control.
Proceedings of the 2019 American Control Conference, 2019

2017
Gaussian process-based model predictive control of blood glucose for patients with type 1 diabetes mellitus.
Proceedings of the 11th Asian Control Conference, 2017


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