Titlebar

Export bibliographic data
Literature by the same author
plus on the publication server
plus at Google Scholar

 

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.

[img] PDF
Palma_Gruene_stability_performance_robustness_mtns_2012.pdf - Accepted Version
Available under License Deutsches Urheberrechtsgesetz .

Download (223kB)

Project information

Project title:
Project's official titleProject'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
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: 28 Mar 2019 15:22
URI: https://epub.uni-bayreuth.de/id/eprint/2016

Downloads

Downloads per month over past year