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Performance Guarantees for Multiobjective Model Predictive Control

URN to cite this document: urn:nbn:de:bvb:703-epub-3241-6

Title data

Grüne, Lars ; Stieler, Marleen:
Performance Guarantees for Multiobjective Model Predictive Control.
Bayreuth , 2017 . - 7 S.

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Project information

Project title:
Project's official title
Project's id
DFG-Project "Performance Analysis for Distributed and Multiobjective Model Predictive Control"
GR 1569/13-1

Project financing: Deutsche Forschungsgemeinschaft

Abstract

We consider model predictive control with terminal conditions for discrete-time multiobjective optimal control problems for classical and economic stage costs. In this paper it is demonstrated that choosing an appropriate solution to the multiobjective optimization problem in each step of the MPC algorithm yields a near Pareto-optimal infinite-horizon performance of the MPC feedback for each cost criterion.

Further data

Item Type: Preprint, postprint
Keywords: Predictive control for nonlinear systems; Cooperative control; Optimization
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
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Applied Mathematics
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-3241-6
Date Deposited: 14 Mar 2017 06:30
Last Modified: 28 Mar 2019 10:26
URI: https://epub.uni-bayreuth.de/id/eprint/3241

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