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Sensitivity-based multistep MPC for embedded systems

URN to cite this document: urn:nbn:de:bvb:703-epub-2753-3

Title data

Palma, Vryan Gil ; Suardi, Andrea ; Kerrigan, Eric C.:
Sensitivity-based multistep MPC for embedded systems.
Department of Mathematics, University of Bayreuth, Department of Electrical and Electronic Engineering, Imperial College London, Department of Electrical and Electronic Engineering and Department of Aeronautics, Imperial College London
Bayreuth , 2015 . - 6 S.

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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

In model predictive control (MPC), an optimization problem is solved every sampling instant to determine an optimal control for a physical system. We aim to accelerate this procedure for fast systems applications and address the challenge of implementing the resulting MPC scheme on an embedded system with limited computing power. We present the sensitivity-based multistep MPC, a strategy which considerably reduces the computing requirements in terms of floating point operations (FLOPs), compared to a standard MPC formulation, while fulfilling closed-loop performance expectations. We illustrate by applying the method to a DC- DC converter model and show how a designer can optimally trade-off closed-loop performance considerations with computing requirements in order to fit the controller into a resource-constrained embedded system.

Further data

Item Type: Preprint, postprint
Additional notes (visible to public): This paper is accepted and will be published in the proceedings of NMPC 2015.
Keywords: model predictive control; suboptimality; robustness; sensitivity analysis; reducing computational expense
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)
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
Profile Fields
Profile Fields > Advanced Fields
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-2753-3
Date Deposited: 19 Feb 2016 08:11
Last Modified: 28 Mar 2019 14:48
URI: https://epub.uni-bayreuth.de/id/eprint/2753

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