Lukas Hewing

According to our database1, Lukas Hewing authored at least 18 papers between 2016 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Cautious Model Predictive Control Using Gaussian Process Regression.
IEEE Trans. Control. Syst. Technol., 2020

Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control.
IEEE Control. Syst. Lett., 2020

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation.
CoRR, 2020

Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction.
CoRR, 2020

Recursively feasible stochastic model predictive control using indirect feedback.
Autom., 2020

On Simulation and Trajectory Prediction with Gaussian Process Dynamics.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Learning-Based Model Predictive Control for Autonomous Racing.
IEEE Robotics Autom. Lett., 2019

Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm.
IEEE Robotics Autom. Lett., 2019

An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control.
CoRR, 2019

Probabilistic model predictive safety certification for learning-based control.
CoRR, 2019

2018
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars.
Proceedings of the 16th European Control Conference, 2018

On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems.
Proceedings of the 16th European Control Conference, 2018

Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars.
CoRR, 2017

Cautious Model Predictive Control using Gaussian Process Regression.
CoRR, 2017

2016
Positive real dynamic output feedback controller synthesis.
Proceedings of the 24th Mediterranean Conference on Control and Automation, 2016


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