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On non-averaged performance of economic MPC with terminal conditions

URN to cite this document: urn:nbn:de:bvb:703-epub-2021-9

Title data

Grüne, Lars ; Panin, Anastasia:
On non-averaged performance of economic MPC with terminal conditions.
Department of Mathematics, University of Bayreuth
Bayreuth , 2015 . - 6 S.

Project information

Project title:
Project's official title
Project's id
DFG-Project "Performance Analysis for Distributed and Multiobjective Model Predictive Control"
GR1569/13-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract

We present non-averaged and transient performance estimates for economic Model Predictive Control (MPC) schemes with terminal conditions. The results provide a stronger notion of (approximate) optimality than the well known averaged optimality property and improve upon similar results for economic MPC schemes without terminal conditions.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): erschienen in:
Proceedings of the 54th IEEE Conference on Decision and Control (CDC 2015). - Piscataway, NJ : IEEE , 2015 . - S. 4332-4337
ISBN 978-1-4799-7884-7
DOI: https://doi.org/10.1109/CDC.2015.7402895
Keywords: model predictive control; performance estimates; terminal constraints; terminal cost
DDC Subjects: 500 Science > 510 Mathematics
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
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-2021-9
Date Deposited: 15 Apr 2015 09:56
Last Modified: 28 May 2021 09:38
URI: https://epub.uni-bayreuth.de/id/eprint/2021

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