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Numerical Methods for Optimal Control Problems

Title data

Numerical Methods for Optimal Control Problems.
ed.: Falcone, Maurizio ; Ferretti, Roberto ; Grüne, Lars ; McEneaney, William M.
Cham : Springer , 2018 . - X, 268 p. - (Springer INdAM Series ; 29 )
ISBN 978-3-030-01959-4
DOI: https://doi.org/10.1007/978-3-030-01959-4

Project information

Project financing: Andere

Abstract in another language

The contributions included in this volume were presented at the workshop "Numerical methods for optimal control problems: algorithms, analysis and applications", held in Rome on 19–23 June 2017, at the Istituto Nazionale di Alta Matematica—INdAM (for more information on the workshop see the website http://www1.mat. uniroma1.it/ricerca/convegni/2017/numoc2017/). The goal of the workshop was to compare and (possibly) integrate a number of techniques of heterogeneous origin, such as open-loop optimization, nonlinear and dynamic programming, and model predictive control. Specific tools for high dimensional problems, such as state space reduction, adaptive and sparse grids, max-plus algebra and radial basis functions, were also addressed. The idea was to gather experts from different communities in numerical analysis and control engineering, and the varied nature of the topics covered in the volume reflect this goal.

Further data

Item Type: Book / Monograph
Refereed: Yes
Keywords: optimal control; numerical methods
ISSN der Serie: 2281-5198
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne
Profile Fields
Profile Fields > Advanced Fields
Profile Fields > Advanced Fields > Nonlinear Dynamics
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 04 Feb 2019 09:01
Last Modified: 04 Feb 2019 09:01
URI: https://eref.uni-bayreuth.de/id/eprint/47160