Zobrazeno 1 - 10
of 14 405
pro vyhledávání: '"Hirt A"'
Autor:
Hirt, Sebastian, Höhl, Andreas, Pohlodek, Johannes, Schaeffer, Joachim, Pfefferkorn, Maik, Braatz, Richard D., Findeisen, Rolf
Model predictive control (MPC) is a powerful tool for controlling complex nonlinear systems under constraints, but often struggles with model uncertainties and the design of suitable cost functions. To address these challenges, we discuss an approach
Externí odkaz:
http://arxiv.org/abs/2410.04982
Safe learning of control policies remains challenging, both in optimal control and reinforcement learning. In this article, we consider safe learning of parametrized predictive controllers that operate with incomplete information about the underlying
Externí odkaz:
http://arxiv.org/abs/2409.10171
Autor:
Pick, Julian, Voß, Julia, Hirt, Simon, Kruse, Jens, Leopold, Tobias, Schwarz, Roman, Klempt, Carsten
Alkaline-earth-like elements play pivotal roles in advanced quantum sensing technologies, notably optical clocks, with unprecedented precision achieved in recent years. Despite remarkable progress, current optical lattice clocks still face challenges
Externí odkaz:
http://arxiv.org/abs/2408.12471
Autor:
Lombardi, Pietro, Georgieva, Hristina, Hirt, Franziska, Mony, Juergen, Duquennoy, Rocco, Emadi, Ramin, Aparicio, Maria Guadalupe, Colautti, Maja, López, Marco, Kück, Stefan, Toninelli, Costanza
In the realm of fundamental quantum science and technologies, non-classical states of light, such as single-photon Fock states, are widely studied. However, current standards and metrological procedures are not optimized for low light levels. Progres
Externí odkaz:
http://arxiv.org/abs/2407.05525
Designing predictive controllers towards optimal closed-loop performance while maintaining safety and stability is challenging. This work explores closed-loop learning for predictive control parameters under imperfect information while considering cl
Externí odkaz:
http://arxiv.org/abs/2404.12187
Autor:
Hirt, Sebastian, Höhl, Andreas, Schaeffer, Joachim, Pohlodek, Johannes, Braatz, Richard D., Findeisen, Rolf
Tuning parameters in model predictive control (MPC) presents significant challenges, particularly when there is a notable discrepancy between the controller's predictions and the actual behavior of the closed-loop plant. This mismatch may stem from f
Externí odkaz:
http://arxiv.org/abs/2404.06125
Autor:
Acharya, B., Alexandre, J., Behera, S. C., Benes, P., Bergmann, B., Bertolucci, S., Bevan, A., Brancaccio, R., Branzas, H., Burian, P., Campbell, M., Cecchini, S., Cho, Y. M., de Montigny, M., De Roeck, A., Ellis, J. R., Fairbairn, M., Felea, D., Frank, M., Gould, O., Hays, J., Hirt, A. M., Ho, D. L. -J., Hung, P. Q., Janecek, J., Kalliokoski, M., Lacarrere, D. H., Leroy, C., Levi, G., Margiotta, A., Maselek, R., Maulik, A., Mauri, N., Mavromatos, N. E., Millward, L., Mitsou, V. A., Musumeci, E., Ostrovskiy, I., Ouimet, P. -P., Papavassiliou, J., Patrizii, L., Pavalas, G. E., Pinfold, J. L., Popa, L. A., Popa, V., Pozzato, M., Pospisil, S., Rajantie, A., de Austri, R. Ruiz, Sahnoun, Z., Sakellariadou, M., Sakurai, K., Sarkar, S., Semenoff, G., Shaa, A., Sirri, G., Sliwa, K., Soluk, R., Spurio, M., Staelens, M., Suk, M., Tenti, M., Togo, V., Tuszynski, J. A., Upreti, A., Vento, V., Vives, O.
Publikováno v:
Phys. Rev. Lett. 133, 071803 (2024)
We report on a search for magnetic monopoles (MMs) produced in ultraperipheral Pb--Pb collisions during Run-1 of the LHC. The beam pipe surrounding the interaction region of the CMS experiment was exposed to 184.07 \textmu b$^{-1}$ of Pb--Pb collisio
Externí odkaz:
http://arxiv.org/abs/2402.15682
Autor:
Hutchins, William, Tomko, John A., Hirt, Dan M., Zare, Saman, Matson, Joseph R., Diaz-Granados, Katja, He, Mingze, Pfeifer, Thomas, Li, Jiahan, Edgar, James, Maria, Jon-Paul, Caldwell, Joshua D., Hopkins, Patrick E.
The efficiency of phonon-mediated heat transport is limited by the intrinsic atomistic properties of materials, seemingly providing an upper limit to heat transfer in materials and across their interfaces. The typical speeds of conductive transport,
Externí odkaz:
http://arxiv.org/abs/2401.09594
Publikováno v:
Transactions on Machine Learning Research (TMLR), 2024
Devising deep latent variable models for multi-modal data has been a long-standing theme in machine learning research. Multi-modal Variational Autoencoders (VAEs) have been a popular generative model class that learns latent representations that join
Externí odkaz:
http://arxiv.org/abs/2309.00380
Autor:
Miriam Hubmann, Nikolai Kiselev, Sonja Hirt, Carole Pauli, Daniela Loosli, Olivia Stoffel, Michael Buehler, Karin Nordström
Publikováno v:
Sports Psychiatry, Vol 3, Iss 4, Pp 173-180 (2024)
Abstract: Background: Despite the exponential growth of Paraclimbing as a sports discipline in recent years, there is a significant gap in research concerning the specific training needs of paraclimbing coaches(PC). The unique challenges posed by the
Externí odkaz:
https://doaj.org/article/1335523c307b43aa9b73eee457d1093c
