URN to cite this document: urn:nbn:de:bvb:703-epub-4593-9
Title data
Grüne, Lars:
Why does strict dissipativity help in model predictive control?
Department of Mathematics, University of Bayreuth
Bayreuth
,
2020
. - 4 S.
Project information
Project financing: |
Deutsche Forschungsgemeinschaft |
---|
Abstract
During the last couple of years the theory of why and when Model Predictive Control (MPC) generates stable, feasible and near optimal closed-loop solutions has significantly matured. In this talk we give a survey about the contribution of the dissipativity concept in this line of research.
Further data
Item Type: | Preprint, postprint |
---|---|
Additional notes (visible to public): | Extended Abstract |
Keywords: | Model Predictive Control; strict dissipativity; stability; near optimality; feasibility; detectability |
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 Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics > Chair Applied Mathematics - Univ.-Prof. Dr. Anton Schiela Profile Fields Profile Fields > Advanced Fields Profile Fields > Advanced Fields > Nonlinear Dynamics Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS) Research Institutions Research Institutions > Research Centres |
Language: | English |
Originates at UBT: | Yes |
URN: | urn:nbn:de:bvb:703-epub-4593-9 |
Date Deposited: | 28 Jan 2020 06:10 |
Last Modified: | 28 Jan 2020 06:10 |
URI: | https://epub.uni-bayreuth.de/id/eprint/4593 |