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Alexandre Capone
Alexandre Capone
Research Assistant, Technical University of Munich
Bestätigte E-Mail-Adresse bei tum.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Backstepping for partially unknown nonlinear systems using Gaussian processes
A Capone, S Hirche
IEEE Control Systems Letters 3 (2), 416-421, 2019
252019
Localized active learning of Gaussian process state space models
A Capone, G Noske, J Umlauft, T Beckers, A Lederer, S Hirche
Learning for Dynamics and Control, 490-499, 2020
172020
How training data impacts performance in learning-based control
A Lederer, A Capone, J Umlauft, S Hirche
IEEE Control Systems Letters 5 (3), 905-910, 2020
132020
Gaussian process-based stochastic model predictive control for overtaking in autonomous racing
T Brüdigam, A Capone, S Hirche, D Wollherr, M Leibold
arXiv preprint arXiv:2105.12236, 2021
112021
Smart forgetting for safe online learning with Gaussian processes
J Umlauft, T Beckers, A Capone, A Lederer, S Hirche
Learning for dynamics and control, 160-169, 2020
112020
Parameter optimization for learning-based control of control-affine systems
A Lederer, A Capone, S Hirche
Learning for Dynamics and Control, 465-475, 2020
82020
Data selection for multi-task learning under dynamic constraints
A Capone, A Lederer, J Umlauft, S Hirche
IEEE Control Systems Letters 5 (3), 959-964, 2020
82020
An opc ua-based energy management platform for multi-energy prosumers in districts
D Bytschkow, A Capone, J Mayer, M Kramer, T Licklederer
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 1-5, 2019
82019
The impact of data on the stability of learning-based control
A Lederer, A Capone, T Beckers, J Umlauft, S Hirche
Learning for Dynamics and Control, 623-635, 2021
62021
Gaussian process uniform error bounds with unknown hyperparameters for safety-critical applications
A Capone, A Lederer, S Hirche
arXiv preprint arXiv:2109.02606, 2021
32021
Anticipating the long-term effect of online learning in control
A Capone, S Hirche
2020 American Control Conference (ACC), 3865-3872, 2020
32020
Interval observers for a class of nonlinear systems using gaussian process models
A Capone, S Hirche
2019 18th European Control Conference (ECC), 1350-1355, 2019
12019
Sector Coupling with Optimization: A comparison between single buildings and combined quarters
L Heidemann, D Bytschkow, A Capone, T Licklederer, M Kramer
Abstracts from the 8th DACH+ Conference on Energy Informatics, 2019
12019
Dext-Gen: Dexterous Grasping in Sparse Reward Environments with Full Orientation Control
M Schuck, J Brüdigam, A Capone, S Sosnowski, S Hirche
arXiv preprint arXiv:2206.13966, 2022
2022
Backstepping Tracking Control Using Gaussian Processes with Event-Triggered Online Learning
J Jiao, A Capone, S Hirche
IEEE Control Systems Letters, 2022
2022
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators
J Brüdigam, M Schuck, A Capone, S Sosnowski, S Hirche
Learning for Dynamics and Control Conference, 1150-1162, 2022
2022
Abschlussbericht „Multi-Energie Management und Aggregationsplattform (MEMAP)“der TU München
T Licklederer, J Mayer, D Bytschkow, V Ahuir, D Birkeneder, A Capone, ...
Technische Universität München, Munich School of Engineering …, 2022
2022
The Impact of Data on the Stability of Learning-Based Control-Extended Version
A Lederer, A Capone, T Beckers, J Umlauft, S Hirche
arXiv preprint arXiv:2011.10596, 2020
2020
The Value of Data in Learning-Based Control for Training Subset Selection
A Lederer, A Capone, T Beckers, J Umlauft, S Hirche
2020
Confidence Regions for Predictions of Online Learning-Based Control
A Capone, A Lederer, S Hirche
IFAC-PapersOnLine 53 (2), 1007-1012, 2020
2020
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