Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Allgower, Frank"'
Designing data-driven controllers in the presence of noise is an important research problem, in particular when guarantees on stability, robustness, and constraint satisfaction are desired. In this paper, we propose a data-driven min-max model predic
Externí odkaz:
http://arxiv.org/abs/2309.17307
Autor:
Mammarella, Martina, Lorenzen, Matthias, Capello, Elisa, Park, Hyeongjun, Dabbene, Fabrizio, Allgower, Frank, Guglieri, Giorgio, Romano, Marcello
In this paper, a sampling-based Stochastic Model Predictive Control algorithm is proposed for discrete-time linear systems subject to both parametric uncertainties and additive disturbances. One of the main drivers for the development of the proposed
Externí odkaz:
http://arxiv.org/abs/1803.01652
In this paper we develop a numerical method to solve nonlinear optimal control problems with final-state constraints. Specifically, we extend the PRojection Operator based Netwon's method for Trajectory Optimization (PRONTO), which was proposed by Ha
Externí odkaz:
http://arxiv.org/abs/1703.08356
Publikováno v:
In IFAC PapersOnLine 2022 55(30):365-370
Publikováno v:
IEEE Transactions on Automatic Control; November 2024, Vol. 69 Issue: 11 p7988-7995, 8p
We address the observability problem for ensembles that are described by probability distributions. The problem is to reconstruct a probability distribution of the initial state from the time-evolution of the probability distribution of the output un
Externí odkaz:
http://arxiv.org/abs/1507.01841
Akademický článek
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Autor:
Waldherr, Steffen, Allgower, Frank
Publikováno v:
In Proceedings of the 2nd Foundations of Systems Biology in Engineering (FOSBE) 2007, pp. 479-484, Fraunhofer IRB Verlag Stuttgart, ISBN 978-3-8167-7436-5
Feedback circuits in biochemical networks which underly cellular signaling pathways are important elements in creating complex behavior. A specific aspect thereof is how stability of equilibrium points depends on model parameters. For biochemical net
Externí odkaz:
http://arxiv.org/abs/0711.2687
Biological systems are typically very complex and need to be reduced before they are amenable to a thorough analysis. Also, they often possess functionally important dynamic features like bistability. In model reduction, it is sometimes more desirabl
Externí odkaz:
http://arxiv.org/abs/q-bio/0702011
Akademický článek
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