Zobrazeno 1 - 10
of 109 284
pro vyhledávání: 'Steffens, Werner'
Publikováno v:
Comput. Methods Appl. Mech. Eng., 433, Part A: 117483, 2025
Stability is a basic requirement when studying the behavior of dynamical systems. However, stabilizing dynamical systems via reinforcement learning is challenging because only little data can be collected over short time horizons before instabilities
Externí odkaz:
http://arxiv.org/abs/2407.06418
Polytopic autoencoders provide low-dimensional parametrizations of states in a polytope. For nonlinear PDEs, this is readily applied to low-dimensional linear parameter-varying (LPV) approximations as they have been exploited for efficient nonlinear
Externí odkaz:
http://arxiv.org/abs/2403.18044
Autor:
Reiter, Sean, Werner, Steffen W. R.
The root mean squared error is an important measure used in a variety of applications such as structural dynamics and acoustics to model averaged deviations from standard behavior. For large-scale systems, simulations of this quantity quickly become
Externí odkaz:
http://arxiv.org/abs/2403.08894
Autor:
Saak, Jens, Werner, Steffen W. R.
Publikováno v:
Electron. Trans. Numer. Anal., 62:95-118, 2024
Continuous-time algebraic Riccati equations can be found in many disciplines in different forms. In the case of small-scale dense coefficient matrices, stabilizing solutions can be computed to all possible formulations of the Riccati equation. This i
Externí odkaz:
http://arxiv.org/abs/2402.06844
Autor:
Rozemuller, W. Mathijs, Werner, Steffen, Costa, Antonio Carlos, O'Shaughnessy, Liam, Stephens, Greg J., Shimizu, Thomas S.
Animal locomotion is often subject to constraints arising from anatomical/physiological asymmetries. We use the nematode C.~elegans as a minimal model system to ask whether such constraints might shape locomotion patterns optimized during evolution.
Externí odkaz:
http://arxiv.org/abs/2311.00616
Autor:
Aumann, Quirin, Werner, Steffen W. R.
Publikováno v:
Adv. Comput. Math., 50(4):79, 2024
Interpolation-based methods are well-established and effective approaches for the efficient generation of accurate reduced-order surrogate models. Common challenges for such methods are the automatic selection of good or even optimal interpolation po
Externí odkaz:
http://arxiv.org/abs/2305.10806
Publikováno v:
Adv. Comput. Math., 50(2):18, 2024
High-dimensional/high-fidelity nonlinear dynamical systems appear naturally when the goal is to accurately model real-world phenomena. Many physical properties are thereby encoded in the internal differential structure of these resulting large-scale
Externí odkaz:
http://arxiv.org/abs/2304.14292
Publikováno v:
Adv. Comput. Math., 50(2):26, 2024
An essential tool in data-driven modeling of dynamical systems from frequency response measurements is the barycentric form of the underlying rational transfer function. In this work, we propose structured barycentric forms for modeling dynamical sys
Externí odkaz:
http://arxiv.org/abs/2303.12576
Autor:
Heiland, Jan, Werner, Steffen W. R.
Publikováno v:
IEEE Control Syst. Lett., 7:3012-3017, 2023
Nonlinear feedback design via state-dependent Riccati equations is well established but unfeasible for large-scale systems because of computational costs. If the system can be embedded in the class of linear parameter-varying (LPV) systems with the p
Externí odkaz:
http://arxiv.org/abs/2303.11515
Autor:
Burkhoff, Daniel, Cohen, Howard, Brunckhorst, Corinna, O'Neill, William W., Thiele, Holger Thiele, Sick, Peter, Boudriot, Enno, Diederich, Klaus-Werner, Hambrecht, Rainer, Niebauer, Josef, Schuler, Gerhard, Seyfarth, Melchior, Sibbing, Dirk, Bauer, Iris, Fröhlich, Georg, Bott-Flügel, Lorenz, Byrne, Robert, Dirschinger, Josef, Kastrati, Adnan, Schömig, Albert, Ouweneel, Dagmar M., Eriksen, Erlend, Sjauw, Krischan D., van Dongen, Ivo M., Hirsch, Alexander, Packer, Erik J.S, Vis, M. Marie, Wykrzykowska, Joanna J., Koch, Karel T., Baan, Jan, De Winter, Robbert J, Piek, Jan J., Lagrand, Wim K, de Mol, Bas A.J.M, Tijssen, Jan G.P., Henriques, José P.S., Møller, Jacob E., Engstrøm, Thomas, Jensen, Lisette Okkels, Eiskjær, Hans, Mangner, Norman, Polzin, Amin, Schulze, P. Christian, Skurk, Carsten, Nordbeck, Peter, Clemmensen, Peter, Panoulas, Vasileios, Zimmer, Sebastian, Schäfer, Andreas, Werner, Nikos, Frydland, Martin, Holmvang, Lene, Kjærgaard, Jesper, Sørensen, Rikke, Lønborg, Jacob, Greve, Matias, Christiansen, Evald H., Linke, Axel, Woitek, Felix J., Westenfeld, Ralf, Moebius-Winkler, Sven, Wachtell, Kristian, Ravn, Hanne Berg, Lassen, Jens Flensted, Boesgaard, Søren, Gerke, Oke, Hassager, Christian, Lackermair, Korbinian, Brunner, Stefan, Orban, Mathias, Peterss, Sven, Orban, Martin, Theiss, Hans D., Huber, Bruno C., Juchem, Gerd, Born, Frank, Boulesteix, Anne-Laure, Bauer, Axel, Pichlmaier, Maximilian, Hausleiter, Jörg, Massberg, Steffen, Hagl, Christian, Guenther, Sabina P.W., Ostadal, Petr, Rokyta, Richard, Karasek, Jiri, Kruger, Andreas, Vondrakova, Dagmar, Janotka, Marek, Naar, Jan, Smalcova, Jana, Hubatova, Marketa, Hromadk, Milan, Volovar, Stefan, Seyfrydova, Miroslava, Jarkovsky, Jiri, Svoboda, Michal, Linhart, Ales, Belohlavek, Jan, Banning, Amerjeet S., Sabaté, Manel, Gracey, Jay, López-Sobrino, Teresa, Bogaerts, Kris, Adriaenssens, Tom, Berry, Colin, Erglis, Andrejs, Haine, Steven, Myrmel, Truls, Patel, Sameer, Buera, Irene, Sionis, Alessandro, Vilalta, Victoria, Yusuff, Hakeem, Vrints, Christiaan, Adlam, David, Flather, Marcus, Gershlick, Anthony H., Thiele, Holger, Zeymer, Uwe, Akin, Ibrahim, Behnes, Michael, Rassaf, Tienush, Mahabadi, Amir-Abbas, Lehmann, Ralf, Eitel, Ingo, Graf, Tobias, Seidler, Tim, Schuster, Andreas, Duerschmied, Daniel, Hennersdorf, Marcus, Fichtlscherer, Stephan, Voigt, Ingo, John, Stefan, Ewen, Sebastian, Tigges, Eike, Nordbeck, Peter Steffen, Bruch, Leonhard, Jung, Christian, Franz, Jutta, Lauten, Philipp, Goslar, Tomaz, Feistritzer, Hans-Josef, Pöss, Janine, Kirchhof, Eva, Ouarrak, Taoufik, Schneider, Steffen, Desch, Steffen, Freund, Anne, Møller, Jacob E *, Henriques, Jose P S, Bogerd, Margriet, Hochadel, Matthias, Schulze, P Christian
Publikováno v:
In The Lancet 14-20 September 2024 404(10457):1019-1028
