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Stability, performance and robustness of sensitivity-based multistep feedback NMPC

URN to cite this document: urn:nbn:de:bvb:703-epub-2016-1

Title data

Palma, Vryan Gil ; Grüne, Lars:
Stability, performance and robustness of sensitivity-based multistep feedback NMPC.
Department of Mathematics, University of Bayreuth
Bayreuth , 2012 . - 4 S.

Project information

Project title:
Project's official title
Project's id
Marie-Curie Initial Training Network "Sensitivity Analysis for Deterministic Controller Design" (SADCO)
264735-SADCO

Project financing: 7. Forschungsrahmenprogramm für Forschung, technologische Entwicklung und Demonstration der Europäischen Union

Abstract

This extended abstract explains how sensitivity updates can be incorporated into multistep feedback nonlinear model predictive control schemes.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): erscheint in:
MTNS 2012 : Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems. - Melbourne , 2012 . - 4 S.
ISBN 978-0-646-58062-3
Keywords: nonlinear model predictive control; sensitivity analysis; stability; performance; robustness
DDC Subjects: 500 Science > 510 Mathematics
Institutions of the University: 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 > Advanced Fields > Nonlinear Dynamics
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)
Profile Fields
Profile Fields > Advanced Fields
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-2016-1
Date Deposited: 17 Apr 2015 07:39
Last Modified: 07 Jun 2021 11:13
URI: https://epub.uni-bayreuth.de/id/eprint/2016

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