Cloud-Assisted Model Predictive Control

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

In this paper we present a computational offloading
strategy with graceful degradation for executing Model Predictive
Control using the cloud. We show a method which allows for
seamless control assistance and design of flexible controllers using
the edge cloud. We examplify using a cyber-physical-system at
high frequency and illustrate how the system can be improved
while keeping the computational cost down.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Wallenberg AI, Autonomous Systems and Software Program (WASP)
  • Ericsson AB
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Reglerteknik
  • Datorteknik
  • Kommunikationssystem
  • Robotteknik och automation

Nyckelord

  • cloud computing;control engineering computing;cyber-physical systems;predictive control;flexible controllers;edge cloud;cyber-physical-system;seamless control;cloud-assisted model predictive control;Cloud computing;Optimization;Delays;Data centers;Computational modeling;Mathematical model;Edge computing;Cloud, Edge, Time-sensitive, Mission-critical, Model Predictive Control, Control theory, Cyber-physical
Originalspråkengelska
Titel på värdpublikation2019 IEEE International Conference on Edge Computing
Undertitel på gästpublikation (EDGE)
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor110-112
Antal sidor3
StatusPublished - 2019 aug 26
PublikationskategoriForskning
Peer review utfördJa

Related projects

Maria Kihl, Emma Fitzgerald & William Tärneberg

Swedish Government Agency for Innovation Systems (Vinnova)

2018/08/272020/12/31

Projekt: Övrigt

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