Explicit MPC recovery for cloud control systems

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

We present a strategy for failure resilient cloud control using model predictive control (MPC) extended with explicit recovery. Based on an arbitrary and unmodified device controller, the remotely operated MPC can safely manipulate the network controlled plant through temporary adjustment of an error signal generator. We show ways to implement the reliable cloud controller, relate it to two-degrees-of-freedom control and robust MPC, and determine stability. Simulations illustrate the obtained performance and resilience to failure. In the conclusion, we elaborate on these results and the concept of elastic control.

Original languageEnglish
Title of host publication60th IEEE Conference on Decision and Control, CDC 2021
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages5394-5401
Number of pages8
ISBN (Electronic)9781665436595
DOIs
Publication statusPublished - 2021
Event60th IEEE Conference on Decision and Control, CDC 2021 - Austin, United States
Duration: 2021 Dec 132021 Dec 17

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2021-December
ISSN (Print)0743-1546

Conference

Conference60th IEEE Conference on Decision and Control, CDC 2021
Country/TerritoryUnited States
CityAustin
Period2021/12/132021/12/17

Subject classification (UKÄ)

  • Control Engineering

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