Numerical Methods for Optimal Control Problems

Titelangaben

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

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Abstract

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.