Zobrazeno 1 - 10
of 7 145
pro vyhledávání: '"Berberich"'
Quantum computing comes with the potential to push computational boundaries in various domains including, e.g., cryptography, simulation, optimization, and machine learning. Exploiting the principles of quantum mechanics, new algorithms can be develo
Externí odkaz:
http://arxiv.org/abs/2412.00736
In this paper, we provide a tutorial overview and an extension of a recently developed framework for data-driven control of unknown nonlinear systems with rigorous closed-loop guarantees. The proposed approach relies on the Koopman operator represent
Externí odkaz:
http://arxiv.org/abs/2411.10359
This paper presents a data-driven min-max model predictive control (MPC) scheme for linear parameter-varying (LPV) systems. Contrary to existing data-driven LPV control approaches, we assume that the scheduling signal is unknown during offline data c
Externí odkaz:
http://arxiv.org/abs/2411.05624
In this paper, we propose a novel controller design approach for unknown nonlinear systems using the Koopman operator. In particular, we use the recently proposed stability- and certificate-oriented extended dynamic mode decomposition (SafEDMD) archi
Externí odkaz:
http://arxiv.org/abs/2411.03875
Quantum machine learning leverages quantum computing to enhance accuracy and reduce model complexity compared to classical approaches, promising significant advancements in various fields. Within this domain, quantum reinforcement learning has garner
Externí odkaz:
http://arxiv.org/abs/2410.21117
We investigate nonlinear model predictive control (MPC) with terminal conditions in the Koopman framework using extended dynamic mode decomposition (EDMD) to generate a data-based surrogate model for prediction and optimization. We rigorously show re
Externí odkaz:
http://arxiv.org/abs/2408.12457
Autor:
Funcke, Niklas, Berberich, Julian
Noise in quantum computing devices poses a key challenge in their realization. In this paper, we study the robustness of optimal quantum annealing protocols against coherent control errors, which are multiplicative Hamlitonian errors causing detrimen
Externí odkaz:
http://arxiv.org/abs/2408.06782
Autor:
Sanz-Ruiz P, Berberich C
Publikováno v:
Orthopedic Research and Reviews, Vol Volume 12, Pp 89-96 (2020)
Pablo Sanz-Ruiz,1 Christof Berberich2 1Department of Orthopedics & Traumatology, University Hospital Gregorio Maranon, Madrid, Spain; 2Department of Medical Training, Heraeus Medical GmbH, Wehrheim, GermanyCorrespondence: Christof BerberichDepartment
Externí odkaz:
https://doaj.org/article/7f289ec67a394e19bbe5caef0cc0ffa9
Autor:
Nguyen-Ho-Bao, Tran, Ambe, Lum A., Berberich, Maxi, Hermosilla, Carlos, Taubert, Anja, Daugschies, Arwid, Kamena, Faustin
Cryptosporidiosis is an intestinal disease that affects a variety of hosts including animals and humans. Since no vaccines exist against the disease till date, drug treatment is the mainstay of disease control. Nitazoxanide (NTZ) is the only FDA-appr
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A87523
https://ul.qucosa.de/api/qucosa%3A87523/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A87523/attachment/ATT-0/
Autor:
Berberich, Julian, Allgöwer, Frank
The development of control methods based on data has seen a surge of interest in recent years. When applying data-driven controllers in real-world applications, providing theoretical guarantees for the closed-loop system is of crucial importance to e
Externí odkaz:
http://arxiv.org/abs/2406.04130