Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Michael Maiworm"'
Autor:
Rustem Bolat, Jose M. Guevara, Philipp Leinen, Marvin Knol, Hadi H. Arefi, Michael Maiworm, Rolf Findeisen, Ruslan Temirov, Oliver T. Hofmann, Reinhard J. Maurer, F. Stefan Tautz, Christian Wagner
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract The discrete and charge-separated nature of matter — electrons and nuclei — results in local electrostatic fields that are ubiquitous in nanoscale structures and relevant in catalysis, nanoelectronics and quantum nanoscience. Surface-ave
Externí odkaz:
https://doaj.org/article/75eac8214b4d46f0bdcc86afa121884b
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bf3d3fbe49f856a133bd5ecc9b310ef
https://doi.org/10.23919/acc53348.2022.9867371
https://doi.org/10.23919/acc53348.2022.9867371
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f99c61130ae596987f3b96e6c8e8122
https://doi.org/10.23919/acc53348.2022.9867259
https://doi.org/10.23919/acc53348.2022.9867259
Publikováno v:
2020 59th IEEE Conference on Decision and Control (CDC)
CDC
CDC
Elucidating electrostatic surface potentials contributes to a deeper understanding of the nature of matter and its physicochemical properties, which is the basis for a wide field of applications. Scanning quantum dot microscopy, a recently developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aa8e2c34c9cc25a8381ad0292f8f88e
Publikováno v:
IFAC-PapersOnLine. 51:455-461
We present an output feedback nonlinear model predictive control approach that uses a Gaussian process model for prediction. We show nominal stability assuming that the Gaussian process model is able to represent the real process and establish input-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02061a89b0b918772bdc1af6f5104b09
https://doi.org/10.1016/j.ifacol.2018.11.047
https://doi.org/10.1016/j.ifacol.2018.11.047
Online learning-based Model Predictive Control with Gaussian Process Models and Stability Guarantees
Model predictive control allows to provide high performance and safety guarantees in the form of constraint satisfaction. These properties, however, can be satisfied only if the underlying model, used for prediction, of the controlled process is suff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ccf878b37a682c91c25913c64d7fb24
http://arxiv.org/abs/1911.03315
http://arxiv.org/abs/1911.03315
Publikováno v:
IFAC-PapersOnLine. 48:50-56
Many processes are influenced by uncertain parameters or external disturbances, such as temperature changes. The control of such systems is in general challenging. In this work, we consider robust multi-scenario Model Predictive Control (MPC). Its ce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23ff37aa11f7a9b833657dc12d6dd396
https://doi.org/10.1016/j.ifacol.2015.08.156
https://doi.org/10.1016/j.ifacol.2015.08.156
Autor:
Christian Wagner, Martha A. Grover, Michael Maiworm, Richard D. Braatz, Rolf Findeisen, Murti V. Salapaka, F. Stefan Tautz, S. O. Reza Moheimani, Ruslan Temirov, Srinivasa M. Salapaka
Publikováno v:
ACC
Imaging and manipulating objects down to the molecular level plays a crucial role in many disciplines. It allows to unravel molecular phenomena, to form materials with new chemical and physical properties, or to build objects on an atomic scale. Scie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a15701b1a19d18a3f620a65d5288eb0
https://doi.org/10.1109/acc.2016.7525387
https://doi.org/10.1109/acc.2016.7525387
Publikováno v:
ACC
Nanotechnology developed from a purely theoretical concept pioneered by R. Feynman [1] and E. Drexler [2] into a large, scientifically and commercially active field. In the course of this development the meaning of nanotechnology shifted from the ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a97123278c063533d065ec721946b1e
https://doi.org/10.1109/acc.2016.7525392
https://doi.org/10.1109/acc.2016.7525392
Autor:
Rolf Findeisen, Niklas Friedrich, Nicola Ferri, F. Stefan Tautz, Taner Esat, Alexandre Tkatchenko, P. Leinen, Matthew Green, Ruslan Temirov, Christian Wagner, Michael Maiworm
Publikováno v:
Nature Materials, 18, 853-859. London, United Kingdom: Nature Publishing Group (2019).
Nature materials
Nature materials 18, 853–859 (2019). doi:10.1038/s41563-019-0382-8
Nature Materials
Nature materials
Nature materials 18, 853–859 (2019). doi:10.1038/s41563-019-0382-8
Nature Materials
Because materials consist of positive nuclei and negative electrons, electric potentials are omnipresent at the atomic scale. However, due to the long range of the Coulomb interaction, large-scale structures completely outshine small ones. This makes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::395d06a7890986bfc00075ca165eb075