Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dörte Beigel"'
Publikováno v:
Numerische Mathematik
With this contribution, we shed light on the relation between the discrete adjoints of multistep backward differentiation formula (BDF) methods and the solution of the adjoint differential equation. To this end, we develop a functional-analytic frame
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5aed2abf0cf494300a658fde21b77f1b
Autor:
Leonard Wirsching, Dörte Beigel, Johannes P. Schlöder, Hans Georg Bock, Christian Kirches, Jan Albersmeyer
Publikováno v:
Nonlinear Model Predictive Control ISBN: 9783642010934
Although nonlinear model predictive control has become a well-established control approach, its application to time-critical systems requiring fast feedback is still a major computational challenge. In this article we investigate a new multi-level it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85bba303e54828d03a190e85ad8d7b98
https://doi.org/10.1007/978-3-642-01094-1_37
https://doi.org/10.1007/978-3-642-01094-1_37
Publikováno v:
Numerische Mathematik; Mar2014, Vol. 126 Issue 3, p383-412, 30p
Autor:
Andreas Potschka
Andreas Potschka discusses a direct multiple shooting method for dynamic optimization problems constrained by nonlinear, possibly time-periodic, parabolic partial differential equations. In contrast to indirect methods, this approach automatically co
Autor:
Christian Kirches
Current industrial practice knows many optimization tasks that can be cast as mixed-integer optimal control problems. Due to the combinatorial character of these problems, the computation of optimal solutions under real-time constraints is still a de
Over the past few years significant progress has been achieved in the field of nonlinear model predictive control (NMPC), also referred to as receding horizon control or moving horizon control. More than 250 papers have been published in 2006 in ISI