Cloud-Based Model Predictive Control with Variable Horizon
(2020) 21st IFAC World Congress- Abstract
- A novel method using the cloud to implement a variable horizon model predictive controller is presented. In case of sudden long delays and downtime, a graceful degradation is used. Robust, best effort strategies allow industrial grade use of the powerful, efficient, and quickly improving cloud ecosystems. The variable horizon strategy finds use in, for example, non-linear control problems, and the proposed method can be generalized to implement robust and scalable controllers that benefit from cloud technology. We show results from two horizon selection strategies, service degradation and connectivity issues.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/017d1920-27bd-4fba-869a-6456937c8d76
- author
- Skarin, Per LU ; Eker, Johan LU and Årzén, Karl-Erik LU
- organization
- publishing date
- 2020-07-11
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- International Federation of Automatic Control World Congress 2020
- conference name
- 21st IFAC World Congress
- conference location
- Berlin, Germany
- conference dates
- 2020-07-13 - 2020-07-17
- external identifiers
-
- scopus:85099883866
- 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
- 017d1920-27bd-4fba-869a-6456937c8d76
- date added to LUP
- 2020-08-21 09:46:00
- date last changed
- 2023-11-20 09:29:42
@inproceedings{017d1920-27bd-4fba-869a-6456937c8d76, abstract = {{A novel method using the cloud to implement a variable horizon model predictive controller is presented. In case of sudden long delays and downtime, a graceful degradation is used. Robust, best effort strategies allow industrial grade use of the powerful, efficient, and quickly improving cloud ecosystems. The variable horizon strategy finds use in, for example, non-linear control problems, and the proposed method can be generalized to implement robust and scalable controllers that benefit from cloud technology. We show results from two horizon selection strategies, service degradation and connectivity issues.}}, author = {{Skarin, Per and Eker, Johan and Årzén, Karl-Erik}}, booktitle = {{International Federation of Automatic Control World Congress 2020}}, language = {{eng}}, month = {{07}}, title = {{Cloud-Based Model Predictive Control with Variable Horizon}}, url = {{https://lup.lub.lu.se/search/files/88000580/SkarinIFAC2020.pdf}}, year = {{2020}}, }