Prati
Adrien Banse
Adrien Banse
ICTEAM, UCLouvain
Potvrđena adresa e-pošte na uclouvain.be - Početna stranica
Naslov
Citirano
Citirano
Godina
Data-driven memory-dependent abstractions of dynamical systems
A Banse, L Romao, A Abate, R Jungers
Learning for Dynamics and Control Conference, 891-902, 2023
102023
Data-driven abstractions via adaptive refinements and a Kantorovich metric
A Banse, L Romao, A Abate, RM Jungers
2023 62nd IEEE Conference on Decision and Control (CDC), 6038-6043, 2023
82023
Black-box stability analysis of hybrid systems with sample-based multiple Lyapunov functions
A Banse, Z Wang, RM Jungers
61st IEEE Conference on Decision and Control (Cancún, Mexico), 2022
32022
Data-driven memory-dependent abstractions of dynamical systems via a Cantor-Kantorovich metric
A Banse, L Romao, A Abate, RM Jungers
arXiv preprint arXiv:2405.08353, 2024
22024
Dionysos.jl: a Modular Platform for Smart Symbolic Control
J Calbert, A Banse, B Legat, RM Jungers
arXiv preprint arXiv:2404.14114, 2024
22024
Data-driven abstractions via adaptive refinements and a Kantorovich metric [extended version]
A Banse, L Romao, A Abate, RM Jungers
arXiv preprint arXiv:2303.17618, 2023
22023
Learning stability guarantees for data-driven constrained switching linear systems
A Banse, Z Wang, RM Jungers
25th International Symposium on Mathematical Theory of Networks and Systems …, 2022
22022
Learning stability guarantees for constrained switching linear systems from noisy observations
A Banse, Z Wang, RM Jungers
Nonlinear Analysis: Hybrid Systems 51, 101425, 2024
12024
A Cantor-Kantorovich Metric Between Markov Decision Processes with Application to Transfer Learning
A Banse, V Renganathan, RM Jungers
arXiv preprint arXiv:2407.08324, 2024
2024
Smart abstraction of dynamical systems via a Cantor-Kantorovich distance between Markov chains
A Banse, L Romao, A Abate, RM Jungers, UCL ICTEAM
43rd Benelux Meeting on Systems and Control, 2024
2024
Learning stability guarantees for black-box hybrid systems: from arbitrary to constrained switching linear systems, a step towards complexity
A Banse, RM Jungers
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