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Nicolas Hoischen
Nicolas Hoischen
Verified email at tum.de - Homepage
Title
Cited by
Cited by
Year
Kernel-Based Optimal Control: An Infinitesimal Generator Approach
P Bevanda, N Hoischen, T Wittmann, J Brüdigam, S Hirche, B Houska
7th Annual Learning for Dynamics & Control Conference, 1038-1052, 2024
82024
Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
TY Huang, A Lederer, N Hoischen, J Brüdigam, X Xiao, S Sosnowski, ...
7th Annual Learning for Dynamics & Control Conference, 777-790, 2024
62024
Reconfigurable Plug-and-play Distributed Model Predictive Control for Reference Tracking
A Aboudonia, A Martinelli, N Hoischen, J Lygeros
2022 IEEE 61st Conference on Decision and Control (CDC), 1130-1135, 2022
62022
Safe Connectivity Maintenance of Underactuated Multi-Agent Networks in Dynamic Oceanic Environments
N Hoischen, M Wiggert, CJ Tomlin
2024 European Control Conference (ECC), 1922-1929, 2024
52024
Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
N Hoischen, P Bevanda, S Sosnowski, S Hirche, B Houska
arXiv e-prints, arXiv: 2407.16407, 2024
4*2024
Risk-aware trajectory optimization and control for an underwater suspended robotic system
Y Origane, N Hoischen, TY Huang, D Kurabayashi, S Sosnowski, ...
IFAC-PapersOnLine 59 (22), 348-353, 2025
12025
Safe connectivity maintenance for a fleet of underactuated seaweed farms in dynamic oceanic environments
N Hoischen
ETH Zurich, 2023
12023
Operator Models for Continuous-Time Offline Reinforcement Learning
N Hoischen, P Bevanda, M Beier, S Sosnowski, B Houska, S Hirche
arXiv preprint arXiv:2511.10383, 2025
2025
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Articles 1–8