Pubblicazioni Conference proceedings (15) Localized active learning of Gaussian process state space models Autori: Capone, Alexandre; Umlauft, Jonas; Beckers, Thomas; Lederer, Armin; Hirche, Sandra Pubblicato in: Proceedings of Machine Learning Research, Issue 1, 2020 Editore: Proceedings of Machine Learning Research Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes Autori: Zewen Yang, Stefan Sosnowski, Qingchen Liu, Junjie Jiao, Armin Lederer, Sandra Hirche Pubblicato in: 2021 60th IEEE Conference on Decision and Control (CDC), 2021, ISBN 978-1-6654-3659-5 Editore: IEEE DOI: 10.1109/cdc45484.2021.9683522 Safe Reinforcement Learning via Confidence-Based Filters Autori: S. Curi; A. Lederer; S. Hirche; A. Krause Pubblicato in: 2022 IEEE 61st Conference on Decision and Control (CDC), Issue 61, 2022, ISBN 978-1-6654-6761-2 Editore: IEEE DOI: 10.1109/cdc51059.2022.9992470 Cooperative Visual Pursuit Control with Learning of Position Dependent Target Motion via Gaussian Process Autori: Junya Yamauchi, Marco Omainska, Thomas Beckers, Takeshi Hatanaka, Sandra Hirche, Masayuki Fujita Pubblicato in: 2021 60th IEEE Conference on Decision and Control (CDC), 2021, ISBN 978-1-6654-3659-5 Editore: IEEE DOI: 10.1109/cdc45484.2021.9683432 Distributed Bayesian Online Learning for Cooperative Manipulation Autori: Pablo Budde gen. Dohmann, Armin Lederer, Marcel Disemond, Sandra Hirche Pubblicato in: 2021 60th IEEE Conference on Decision and Control (CDC), 2021, ISBN 978-1-6654-3659-5 Editore: IEEE DOI: 10.1109/cdc45484.2021.9683772 Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes Autori: A. J. Ordóñez-Conejo; A. Lederer; S. Hirche Pubblicato in: Proceedings of the European Control Conference, Issue 20, 2022, ISBN 978-3-9071-4407-7 Editore: IEEE DOI: 10.23919/ecc55457.2022.9838285 Networked Online Learning for Control of Safety-Critical Resource-Constrained Systems based on Gaussian Processes Autori: A. Lederer; M. Zhang; S. Tesfazgi; S. Hirche Pubblicato in: 2022 IEEE Conference on Control Technology and Applications (CCTA), Issue 6, 2022, ISBN 978-1-6654-7338-5 Editore: IEEE DOI: 10.1109/ccta49430.2022.9966043 Design of Interval Observers for Uncertain Linear Impulsive Systems Autori: Kwassi H. Degue, Denis Efimov, Jerome Le Ny, Sandra Hirche Pubblicato in: 2021 60th IEEE Conference on Decision and Control (CDC), 2021, ISBN 978-1-6654-3659-5 Editore: IEEE DOI: 10.1109/cdc45484.2021.9683676 Gaussian Process-Based Real-Time Learning for Safety Critical Applications Autori: Armin Lederer, Alejandro José Ordóñez Conejo, Korbinian Maier, Wenxin Xiao, Jonas Umlauft Pubblicato in: Proceedings of Machine Learning Research, 2021 Editore: Proceedings of Machine Learning Research Physically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes Autori: G. Evangelisti; S. Hirche Pubblicato in: 2022 IEEE 61st Conference on Decision and Control (CDC), Issue 61, 2022, ISBN 978-1-6654-6761-2 Editore: IEEE DOI: 10.1109/cdc51059.2022.9993123 Smart Forgetting for Safe Online Learning with Gaussian Processes Autori: Jonas Umlauft, Thomas Beckers, Alexandre Capone, Armin Lederer, Sandra Hirche Pubblicato in: Proceedings of Machine Learning Research, 2020 Editore: Proceedings of Machine Learning Research Safe Online Learning-based Formation Control of Multi-Agent Systems with Gaussian Processes Autori: Beckers, Thomas; Hirche, Sandra; Colombo, Leonardo Pubblicato in: 2021 60th IEEE Conference on Decision and Control (CDC), 2021, ISBN 978-1-6654-3659-5 Editore: IEEE DOI: 10.1109/cdc45484.2021.9683423 Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications Autori: A. Capone; A. Lederer; S. Hirche Pubblicato in: Proceedings of the 39th International Conference on Machine Learning, Issue 39, 2022, ISBN 1622609-2624 Editore: PMLR Proceedings EMG-Based Volitional Torque Estimation in Functional Electrical Stimulation Control Autori: H. Kavianirad; S. Endo; T. Keller; S. Hirche Pubblicato in: 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), Issue 7, 2022, ISBN 978-1-6654-9469-4 Editore: IEEE DOI: 10.1109/iecbes54088.2022.10079376 The Impact of Data on the Stability of Learning-Based Control Autori: Armin Lederer, Alexandre Capone, Thomas Beckers, Jonas Umlauft, Sandra Hirche Pubblicato in: Proceedings of Machine Learning Research, Issue 144, 2021, Page(s) 623-635, ISSN 2640-3498 Editore: Cambridge MA: JMLR DOI: 10.48550/arxiv.2011.10596 Peer reviewed articles (7) SAFE TRAJECTORY TRACKING FOR UNDERACTUATED VEHICLES WITH PARTIALLY UNKNOWN DYNAMICS Autori: T. Beckers; Leonardo J. Colombo; S. Hirche Pubblicato in: AIMS Journal, Issue 2022, Volume 14, Issue 4, 2022, ISSN 1941-4889 Editore: American Institute of Mathematical Sciences DOI: 10.3934/jgm.2022018 Data Selection for Multi-Task Learning Under Dynamic Constraints Autori: Alexandre Capone; Armin Lederer; Jonas Umlauft; Sandra Hirche Pubblicato in: IEEE Control Systems Letters, Issue 1, 2021, ISSN 2475-1456 Editore: IEEE DOI: 10.1109/lcsys.2020.3006279 Prediction with Approximated Gaussian Process Dynamical Models Autori: Thomas Beckers, Sandra Hirche Pubblicato in: IEEE Transactions on Automatic Control, 2021, ISSN 1558-2523 Editore: IEEE DOI: 10.1109/tac.2021.3131988 Cooperative Control of Uncertain Multiagent Systems via Distributed Gaussian Processes Autori: A. Lederer; Z. Yang; J. Jiao; S. Hirche Pubblicato in: IEEE Transactions on Automatic Control, Issue Volume: 68, Issue: 5, 2022, Page(s) 3091 - 3098, ISSN 0018-9286 Editore: Institute of Electrical and Electronics Engineers DOI: 10.1109/tac.2022.3205424 Gaussian process-based visual pursuit control with unknown target motion learning in three dimensions Autori: Marco Omainska; Junya Yamauchi; Thomas Beckers; Takeshi Hatanaka; Sandra Hirche; Masayuki Fujita; Masayuki Fujita Pubblicato in: SICE Journal of Control, Measurement, and System Integration, Issue 2, 2021 Editore: Taylor&Francis DOI: 10.1080/18824889.2021.1936855 Backstepping tracking control using Gaussian processes with event-triggered online learning Autori: Jiao, Junjie; Capone, Alexandre; Hirche, Sandra Pubblicato in: IEEE Control Systems Letters, Issue Volume 6, 2022, Page(s) 3176 - 3181, ISSN 2475-1456 Editore: 2475-1456 DOI: 10.1109/lcsys.2022.3183530 How Training Data Impacts Performance in Learning-Based Control Autori: Armin Lederer; Alexandre Capone; Jonas Umlauft; Sandra Hirche Pubblicato in: IEEE Control Systems Letters, Issue 2, 2020, ISSN 2475-1456 Editore: IEEE DOI: 10.1109/lcsys.2020.3006725 È in corso la ricerca di dati su OpenAIRE... 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