Dominik Baumann
Dominik Baumann
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Feedback control goes wireless: Guaranteed stability over low-power multi-hop networks
F Mager, D Baumann, R Jacob, L Thiele, S Trimpe, M Zimmerling
Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical …, 2019
Deep reinforcement learning for event-triggered control
D Baumann, JJ Zhu, G Martius, S Trimpe
2018 IEEE Conference on Decision and Control (CDC), 943-950, 2018
Wireless control for smart manufacturing: Recent approaches and open challenges
D Baumann, F Mager, U Wetzker, L Thiele, M Zimmerling, S Trimpe
Proceedings of the IEEE 109 (4), 441-467, 2020
Event-triggered learning for resource-efficient networked control
F Solowjow, D Baumann, J Garcke, S Trimpe
2018 Annual American Control Conference (ACC), 6506-6512, 2018
Memristor‐enhanced humanoid robot control system–Part I: Theory behind the novel memcomputing paradigm
A Ascoli, D Baumann, R Tetzlaff, LO Chua, M Hild
International Journal of Circuit Theory and Applications 46 (1), 155-183, 2018
Resource-aware IoT control: Saving communication through predictive triggering
S Trimpe, D Baumann
IEEE Internet of Things Journal 6 (3), 5013-5028, 2019
Memristor‐enhanced humanoid robot control system–Part II: Circuit theoretic model and performance analysis
D Baumann, A Ascoli, R Tetzlaff, LO Chua, M Hild
International Journal of Circuit Theory and Applications 46 (1), 184-220, 2018
Control-guided communication: Efficient resource arbitration and allocation in multi-hop wireless control systems
D Baumann, F Mager, M Zimmerling, S Trimpe
IEEE Control Systems Letters 4 (1), 127-132, 2019
Evaluating low-power wireless cyber-physical systems
D Baumann, F Mager, H Singh, M Zimmerling, S Trimpe
2018 IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems …, 2018
Fast feedback control over multi-hop wireless networks with mode changes and stability guarantees
D Baumann, F Mager, R Jacob, L Thiele, M Zimmerling, S Trimpe
ACM Transactions on Cyber-Physical Systems 4 (2), 1-32, 2019
Robot learning with crash constraints
A Marco, D Baumann, M Khadiv, P Hennig, L Righetti, S Trimpe
IEEE Robotics and Automation Letters 6 (2), 1439-1446, 2021
Learning event-triggered control from data through joint optimization
N Funk, D Baumann, V Berenz, S Trimpe
IFAC Journal of Systems and Control 16, 100144, 2021
Event-triggered pulse control with model learning (if necessary)
D Baumann, F Solowjow, KH Johansson, S Trimpe
2019 American Control Conference (ACC), 792-797, 2019
Gosafe: Globally optimal safe robot learning
D Baumann, A Marco, M Turchetta, S Trimpe
2021 IEEE International Conference on Robotics and Automation (ICRA), 4452-4458, 2021
Identifying causal structure in dynamical systems
D Baumann, F Solowjow, KH Johansson, S Trimpe
arXiv preprint arXiv:2006.03906, 2020
Excursion search for constrained bayesian optimization under a limited budget of failures
A Marco, A von Rohr, D Baumann, JM Hernández-Lobato, S Trimpe
arXiv preprint arXiv:2005.07443, 2020
A kernel two-sample test for dynamical systems
F Solowjow, D Baumann, C Fiedler, A Jocham, T Seel, S Trimpe
arXiv preprint arXiv:2004.11098, 2020
Scaling beyond bandwidth limitations: Wireless control with stability guarantees under overload
F Mager, D Baumann, C Herrmann, S Trimpe, M Zimmerling
ACM Transactions on Cyber-Physical Systems (TCPS) 6 (3), 1-30, 2022
Learning by doing: Controlling a dynamical system using causality, control, and reinforcement learning
S Weichwald, SW Mogensen, TE Lee, D Baumann, O Kroemer, I Guyon, ...
NeurIPS 2021 Competitions and Demonstrations Track, 246-258, 2022
Predictive triggering for distributed control of resource constrained multi-agent systems
JM Mastrangelo, D Baumann, S Trimpe
IFAC-PapersOnLine 52 (20), 79-84, 2019
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20