Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Melanie N. Zeilinger"'
Autor:
Kiran Kuruvithadam, Marcel Menner, William R. Taylor, Melanie N. Zeilinger, Lennart Stieglitz, Marianne Schmid Daners
Publikováno v:
Sensors, Vol 21, Iss 19, p 6451 (2021)
Normal pressure hydrocephalus (NPH) is a chronic and progressive disease that affects predominantly elderly subjects. The most prevalent symptoms are gait disorders, generally determined by visual observation or measurements taken in complex laborato
Externí odkaz:
https://doaj.org/article/55bc009a622048ff91d3e49a40855305
Publikováno v:
IEEE Transactions on Automatic Control. :1-16
We provide a stability and performance analysis for nonlinear model predictive control (NMPC) schemes subject to input constraints. Given an exponential stabilizability and detectability condition w.r.t. the employed state cost, we provide a sufficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d91dcb6dc83e693ded9bd3bc9c0d1f4
https://doi.org/10.1109/tac.2023.3235244
https://doi.org/10.1109/tac.2023.3235244
Autor:
Johannes Kohler, Melanie N. Zeilinger
Publikováno v:
IEEE Control Systems Letters. 6:2743-2748
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6549ac03fdc92adcc636256eae3dbb87
https://doi.org/10.1109/lcsys.2022.3176405
https://doi.org/10.1109/lcsys.2022.3176405
Publikováno v:
IEEE Transactions on Control of Network Systems, 8 (3)
Control, and in particular learning-based control, is challenging in large-scale and safety-critical system networks due to interactions between subsystems, which can potentially be time-varying. This paper presents a plug-and-play safety framework t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f7ef583845183f0d3569ec2e32dba49
https://doi.org/10.1109/tcns.2021.3074218
https://doi.org/10.1109/tcns.2021.3074218
Autor:
Melanie N. Zeilinger, Kim P. Wabersich
Publikováno v:
International Journal of Robust and Nonlinear Control. 31:8897-8915
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb56811a888a040bae79b0d1f4ce17bc
https://doi.org/10.1002/rnc.5688
https://doi.org/10.1002/rnc.5688
Autor:
Kanat Camlibel, Martin Guay, Sophie Tarbouriech, Simone Baldi, Timm Faulwasser, Francesco Ferrante, Paolo Rapisarda, Henk J. Van Waarde, Melanie N. Zeilinger
Publikováno v:
IEEE Control Systems Letters. 7:1596-1597
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b04c8e6e85f6d6a91561a7ab06e48afe
https://doi.org/10.1109/lcsys.2023.3271448
https://doi.org/10.1109/lcsys.2023.3271448
Autor:
Ali Mesbah, Kim P. Wabersich, Angela P. Schoellig, Melanie N. Zeilinger, Sergio Lucia, Thomas A. Badgwell, Joel A. Paulson
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdaa9e9bac1f520ab5d74b6b08d8ab02
https://doi.org/10.23919/acc53348.2022.9867643
https://doi.org/10.23919/acc53348.2022.9867643
Publikováno v:
IEEE Transactions on Control Systems Technology, 29 (2)
Technological advances in self-driving vehicles will soon enable the implementation of large-scale mobility-on-demand (MoD) systems. The efficient management of fleets of vehicles remains a key challenge, in particular to achieve a demand-aligned dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba3abacc9744eb56e7aa2d84ef1aaf81
https://doi.org/10.1109/tcst.2019.2954520
https://doi.org/10.1109/tcst.2019.2954520
Interaction-Aware Motion Prediction for Autonomous Driving: A Multiple Model Kalman Filtering Scheme
Publikováno v:
IEEE Robotics and Automation Letters, 6 (1)
IEEE Robotics and Automation Letters, 6 (1)
ISSN:2377-3766
ISSN:2377-3766
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38def0a775935208da91b6c1efb35245
https://doi.org/10.1109/lra.2020.3032079
https://doi.org/10.1109/lra.2020.3032079
Publikováno v:
IFAC-PapersOnLine, 54 (9)
24th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2020)
24th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2020)
In large-scale networks of uncertain dynamical systems, where communication is limited and there is a strong interaction among subsystems, learning local models and control policies offers great potential for designing high-performance controllers. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93d21baa203296e2abbfdb4a3157c059
https://doi.org/10.1016/j.ifacol.2021.06.067
https://doi.org/10.1016/j.ifacol.2021.06.067