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Alexandre Capone
Alexandre Capone
Research Assistant, Technical University of Munich
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Backstepping for partially unknown nonlinear systems using Gaussian processes
A Capone, S Hirche
IEEE Control Systems Letters 3 (2), 416-421, 2019
352019
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
312021
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
312020
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
252020
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
222020
Gaussian process uniform error bounds with unknown hyperparameters for safety-critical applications
A Capone, A Lederer, S Hirche
International Conference on Machine Learning, 2609-2624, 2022
162022
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
162021
Parameter optimization for learning-based control of control-affine systems
A Lederer, A Capone, S Hirche
Learning for Dynamics and Control, 465-475, 2020
152020
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
122020
Backstepping tracking control using Gaussian processes with event-triggered online learning
J Jiao, A Capone, S Hirche
IEEE Control Systems Letters 6, 3176-3181, 2022
102022
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
102019
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
62022
Anticipating the long-term effect of online learning in control
A Capone, S Hirche
2020 American Control Conference (ACC), 3865-3872, 2020
62020
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
52019
Confidence regions for predictions of online learning-based control
A Capone, A Lederer, S Hirche
IFAC-PapersOnLine 53 (2), 1007-1012, 2020
22020
Sharp Calibrated Gaussian Processes
A Capone, S Hirche, G Pleiss
Advances in Neural Information Processing Systems 36, 2024
12024
Safe Online Dynamics Learning with Initially Unknown Models and Infeasible Safety Certificates
A Capone, R Cosner, A Ames, S Hirche
arXiv preprint arXiv:2311.02133, 2023
12023
Day-ahead Scheduling of Thermal Storage Systems Using Bayesian Neural Networks
A Capone, C Helminger, S Hirche
IFAC-PapersOnLine 53 (2), 13281-13286, 2020
12020
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, 29-33, 2019
12019
Learning-based Prescribed-Time Safety for Control of Unknown Systems with Control Barrier Functions
TY Huang, X Dai, S Zhang, A Capone, V Todorovski, S Sosnowski, ...
arXiv preprint arXiv:2403.08054, 2024
2024
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