Explicit MPC recovery for cloud control systems
Skarin, Per LU
and Arzen, Karl Erik
LU
(2021)
60th IEEE Conference on Decision and Control, CDC 2021
In Proceedings of the IEEE Conference on Decision and Control
2021-December.
p.5394-5401
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/80a56523-9eaf-44c5-ae99-8f70fff4c835
- author
- Skarin, Per
LU
and Arzen, Karl Erik
LU
- organization
- publishing date
- 2021-07-27
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 60th IEEE Conference on Decision and Control, CDC 2021
- series title
- Proceedings of the IEEE Conference on Decision and Control
- volume
- 2021-December
- pages
- 8 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 60th IEEE Conference on Decision and Control, CDC 2021
- conference location
- Austin, United States
- conference dates
- 2021-12-13 - 2021-12-17
- external identifiers
-
- scopus:85126065617
- scopus:85126065617
- ISSN
- 0743-1546
- ISBN
- 9781665436595
- DOI
- 10.1109/CDC45484.2021.9683307
- project
- Control over the Cloud - Offloading, Elastic Computing, and Predictive Control
- Nordic University Hub on Internet of Things
- WASP: Autonomous Cloud
- Mission-Critical Control over the Cloud
- language
- English
- LU publication?
- yes
- id
- 80a56523-9eaf-44c5-ae99-8f70fff4c835
- date added to LUP
- 2021-08-17 16:19:52
- date last changed
- 2022-05-07 20:52:39
@inproceedings{80a56523-9eaf-44c5-ae99-8f70fff4c835,
abstract = {{<p>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. </p>}},
author = {{Skarin, Per and Arzen, Karl Erik}},
booktitle = {{60th IEEE Conference on Decision and Control, CDC 2021}},
isbn = {{9781665436595}},
issn = {{0743-1546}},
language = {{eng}},
month = {{07}},
pages = {{5394--5401}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{Proceedings of the IEEE Conference on Decision and Control}},
title = {{Explicit MPC recovery for cloud control systems}},
url = {{http://dx.doi.org/10.1109/CDC45484.2021.9683307}},
doi = {{10.1109/CDC45484.2021.9683307}},
volume = {{2021-December}},
year = {{2021}},
}