A Cloud-Enabled Rate-Switching MPC Architecture
(2020) 59th IEEE Conference on Decision and Control- Abstract
- A two-tier architecture for cloud-based MPC is presented consisting of a high rate MPC in the cloud and a low rate MPC on the local device. The system use the cloud MPC as the nominal controller but switches to local MPC in case of connectivity loss. The two MPCs are designed to be as similar to each other as possible except for the sampling rate. Different alternatives for when to execute the local MPC and how to perform the switching are presented. The approach is evaluated by simulation.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f77c1e4e-1c37-4004-8805-38b1dd18c90a
- author
- Skarin, Per LU ; Eker, Johan LU and Årzén, Karl-Erik LU
- organization
- publishing date
- 2020-12-14
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2020 IEEE Conference on Decision and Control
- conference name
- 59th IEEE Conference on Decision and Control
- conference location
- Jeju Island, Korea, Republic of
- conference dates
- 2020-12-14 - 2020-12-18
- external identifiers
-
- scopus:85099564092
- 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
- Swedish
- LU publication?
- yes
- id
- f77c1e4e-1c37-4004-8805-38b1dd18c90a
- date added to LUP
- 2020-08-21 09:59:03
- date last changed
- 2023-11-20 09:39:58
@inproceedings{f77c1e4e-1c37-4004-8805-38b1dd18c90a, abstract = {{A two-tier architecture for cloud-based MPC is presented consisting of a high rate MPC in the cloud and a low rate MPC on the local device. The system use the cloud MPC as the nominal controller but switches to local MPC in case of connectivity loss. The two MPCs are designed to be as similar to each other as possible except for the sampling rate. Different alternatives for when to execute the local MPC and how to perform the switching are presented. The approach is evaluated by simulation.}}, author = {{Skarin, Per and Eker, Johan and Årzén, Karl-Erik}}, booktitle = {{2020 IEEE Conference on Decision and Control}}, language = {{swe}}, month = {{12}}, title = {{A Cloud-Enabled Rate-Switching MPC Architecture}}, url = {{https://lup.lub.lu.se/search/files/88000355/CDC20_0848_FI.pdf}}, year = {{2020}}, }