Positive real dynamic output feedback controller synthesis. - Berno J. E. Misgeld; Lin Liu; Lukas Hewing; Steffen Leonhardt (MED, 2016)

Cautious Model Predictive Control using Gaussian Process Regression. - Lukas Hewing; Melanie N. Zeilinger (CoRR, 2017)

Cautious NMPC with Gaussian Process Dynamics for Miniature Race Cars. - Lukas Hewing; Alexander Liniger; Melanie N. Zeilinger (CoRR, 2017)

Stochastic Model Predictive Control for Linear Systems Using Probabilistic Reachable Sets. - Lukas Hewing; Melanie N. Zeilinger (CDC, 2018)

On a Correspondence between Probabilistic and Robust Invariant Sets for Linear Systems. - Lukas Hewing; Andrea Carron; Kim Peter Wabersich; Melanie N. Zeilinger (ECC, 2018)

Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars. - Lukas Hewing; Alexander Liniger; Melanie N. Zeilinger (ECC, 2018)

An Approximate Dynamic Programming Approach for Dual Stochastic Model Predictive Control. - Elena Arcari; Lukas Hewing; Melanie N. Zeilinger (CoRR, 2019)

Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm. - Andrea Carron; Elena Arcari; Martin Wermelinger; Lukas Hewing; Marco Hutter 001; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2019)

Learning-Based Model Predictive Control for Autonomous Racing. - Juraj Kabzan; Lukas Hewing; Alexander Liniger; Melanie N. Zeilinger (IEEE Robotics Autom. Lett., 2019)

Performance Analysis of Stochastic Model Predictive Control with Direct and Indirect Feedback. - Lukas Hewing; Melanie N. Zeilinger (CDC, 2020)

Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty. - Elena Arcari; Lukas Hewing; Max Schlichting; Melanie N. Zeilinger (L4DC, 2020)

On Simulation and Trajectory Prediction with Gaussian Process Dynamics. - Lukas Hewing; Elena Arcari; Lukas P. Fröhlich; Melanie N. Zeilinger (L4DC, 2020)

Learning-Based Model Predictive Control: Toward Safe Learning in Control. - Lukas Hewing; Kim Peter Wabersich; Marcel Menner; Melanie N. Zeilinger (Annu. Rev. Control. Robotics Auton. Syst., 2020)

Recursively feasible stochastic model predictive control using indirect feedback. - Lukas Hewing; Kim Peter Wabersich; Melanie N. Zeilinger (Autom., 2020)

Scenario-Based Probabilistic Reachable Sets for Recursively Feasible Stochastic Model Predictive Control. - Lukas Hewing; Melanie N. Zeilinger (IEEE Control. Syst. Lett., 2020)

Cautious Model Predictive Control Using Gaussian Process Regression. - Lukas Hewing; Juraj Kabzan; Melanie N. Zeilinger (IEEE Trans. Control. Syst. Technol., 2020)

Volume Control of Low-Cost Ventilator with Automatic Set-Point Adaptation. - Lukas Hewing; Marcel Menner; Nikolaos Tachatos; Marianne Schmid Daners; Cosima du Pasquier; Thomas S. Lumpe; Kristina Shea; Andrea Carron; Melanie N. Zeilinger (ECC, 2021)

Data-Driven Distributed Stochastic Model Predictive Control with Closed-Loop Chance Constraint Satisfaction. - Simon Muntwiler; Kim Peter Wabersich; Lukas Hewing; Melanie N. Zeilinger (ECC, 2021)

Model Learning and Contextual Controller Tuning for Autonomous Racing. - Lukas P. Fröhlich; Christian Küttel; Elena Arcari; Lukas Hewing; Melanie N. Zeilinger; Andrea Carron (CoRR, 2021)

Contextual Tuning of Model Predictive Control for Autonomous Racing. - Lukas P. Fröhlich; Christian Küttel; Elena Arcari; Lukas Hewing; Melanie N. Zeilinger; Andrea Carron (IROS, 2022)

Sequential Convex Programming for Optimal Line of Sight Steering in Agile Missions. - Jesús Ramírez; Lukas Hewing (CoRR, 2022)

Probabilistic Model Predictive Safety Certification for Learning-Based Control. - Kim Peter Wabersich; Lukas Hewing; Andrea Carron; Melanie N. Zeilinger (IEEE Trans. Autom. Control., 2022)