Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control
(Sprache: Englisch)
Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for...
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Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding.
Klappentext zu „Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control “
Christian Kirches develops a fast numerical algorithm of wide applicability that efficiently solves mixed-integer nonlinear optimal control problems. He uses convexification and relaxation techniques to obtain computationally tractable reformulations for which feasibility and optimality certificates can be given even after discretization and rounding.
Inhaltsverzeichnis zu „Fast Numerical Methods for Mixed-Integer Nonlinear Model-Predictive Control “
The Direct Multiple Shooting Method for Optimal Control - Mixed-Integer Optimal Control - Constrained Nonlinear Programming - Mixed-Integer Real-Time Iterations - Outer Convexification of Constraints - A Nonconvex Parametric SQP Method - Linear Algebra for Block Structured QPs - Updates for the Block Structured Factorization
Autoren-Porträt von Christian Kirches
Dr. Christian Kirches is a postdoctoral researcher in the simulation and optimization group at the chair of Professor Dr. Dr. h.c. Hans Georg Bock at the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University.
Bibliographische Angaben
- Autor: Christian Kirches
- 2011, XX, 367 Seiten, Maße: 14,8 x 21 cm, Kartoniert (TB), Englisch
- Verlag: Vieweg+Teubner
- ISBN-10: 3834815721
- ISBN-13: 9783834815729
- Erscheinungsdatum: 28.09.2011
Sprache:
Englisch
Pressezitat
From the book reviews:"The book under review gives a useful introduction and presents valuable new contributions in this topic. ... The material is very clearly written and certain parts ... may well support graduate education. The targeted audience of the book is applied mathematicians and engineers." (Gábor Szederkényi, Mathematical Reviews, January, 2015)
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