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Sensitivity-based multistep MPC for embedded systems

Title data

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

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Official URL: Volltext

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 another language

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 (FLOP) 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 tightly constraint
embedded system.

Further data

Item Type: Preprint, postprint, working paper, discussion paper
Additional notes: This paper is peer-reviewed and accepted to appear in the proceedings of the 2015 American Control Conference (ACC 2015), Chicago, USA. Since the authors could not participate in the conference, the paper had to be withdrawn.
Keywords: multistep model predictive control; sensitivity analysis; perturbed systems; fast system applications; cost and performance tradeoff
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
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 510 Mathematics
Date Deposited: 18 Apr 2015 21:00
Last Modified: 20 Apr 2015 07:13
URI: https://eref.uni-bayreuth.de/id/eprint/10515

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