Alexandre Capone

According to our database, Alexandre Capone authored at least 23 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions.

Tzu-Yuan Huang, Xiaobing Dai, Sihua Zhang, Alexandre Capone, Velimir Todorovski, Stefan Sosnowski, Sandra Hirche

CoRR, 2024

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem.

Wenhan Cao, Alexandre Capone, Sandra Hirche, Wei Pan

CoRR, 2024

2023

Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates.

Alexandre Capone, Ryan K. Cosner, Aaron D. Ames, Sandra Hirche

CoRR, 2023

Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach.

Alexandre Capone, Tim Brüdigam, Sandra Hirche

CoRR, 2023

Sharp Calibrated Gaussian Processes.

Alexandre Capone, Sandra Hirche, Geoff Pleiss

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robust H∞ Consensus for Homogeneous Multi-agent Systems with Parametric Uncertainties.

Alexandre Capone, Junjie Jiao, Mostafa Zarei, Shiqi Zhang, Sandra Hirche

Proceedings of the American Control Conference, 2023

2022

Backstepping Tracking Control Using Gaussian Processes With Event-Triggered Online Learning.

Junjie Jiao, Alexandre Capone, Sandra Hirche

IEEE Control. Syst. Lett., 2022

Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control.

Martin Schuck, Jan Brüdigam, Alexandre Capone, Stefan Sosnowski, Sandra Hirche

CoRR, 2022

Structure-Preserving Learning Using Gaussian Processes and Variational Integrators.

Jan Brüdigam, Martin Schuck, Alexandre Capone, Stefan Sosnowski, Sandra Hirche

Proceedings of the Learning for Dynamics and Control Conference, 2022

Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications.

Alexandre Capone, Armin Lederer, Sandra Hirche

Proceedings of the International Conference on Machine Learning, 2022

2021

How Training Data Impacts Performance in Learning-Based Control.

Armin Lederer, Alexandre Capone, Jonas Umlauft, Sandra Hirche

IEEE Control. Syst. Lett., 2021

Data Selection for Multi-Task Learning Under Dynamic Constraints.

Alexandre Capone, Armin Lederer, Jonas Umlauft, Sandra Hirche

IEEE Control. Syst. Lett., 2021

Gaussian Process-based Stochastic Model Predictive Control for Overtaking in Autonomous Racing.

Tim Brüdigam, Alexandre Capone, Sandra Hirche, Dirk Wollherr, Marion Leibold

CoRR, 2021

The Impact of Data on the Stability of Learning-Based Control.

Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

2020

The Value of Data in Learning-Based Control for Training Subset Selection.

Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche

CoRR, 2020

Localized active learning of Gaussian process state space models.

Alexandre Capone, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche

CoRR, 2020

Smart Forgetting for Safe Online Learning with Gaussian Processes.

Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Parameter Optimization for Learning-based Control of Control-Affine Systems.

Armin Lederer, Alexandre Capone, Sandra Hirche

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Localized active learning of Gaussian process state space models.

Alexandre Capone, Gerrit Noske, Jonas Umlauft, Thomas Beckers, Armin Lederer, Sandra Hirche

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Anticipating the long-term effect of online learning in control.

Alexandre Capone, Sandra Hirche

Proceedings of the 2020 American Control Conference, 2020

2019

Backstepping for Partially Unknown Nonlinear Systems Using Gaussian Processes.

Alexandre Capone, Sandra Hirche

IEEE Control. Syst. Lett., 2019

An OPC UA-based Energy Management Platform for Multi-Energy Prosumers in Districts.

Denis Bytschkow, Alexandre Capone, Jan Mayer, Michael Kramer, Thomas Licklederer

Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Europe, 2019

Interval Observers for a Class of Nonlinear Systems Using Gaussian Process Models.

Alexandre Capone, Sandra Hirche

Proceedings of the 17th European Control Conference, 2019