Next generation real time certified optimization with model predictive control
Dnr:
NAISS 2024/22-964
Type:
NAISS Small Compute
Principal Investigator:
Joel Wikner
Affiliation:
Linköpings universitet
Start Date:
2024-06-28
End Date:
2025-07-01
Primary Classification:
20202: Control Engineering
Webpage:
Allocation
- Centre Storage at NSC: 500 GiB
- Tetralith at NSC: 5 x 1000 core-h/month
Abstract
The purpose of the project is to investigate and evaluate potential methods and algorithms for real time certified optimization with model predictive control. In order to certify the optimization algorithms, heavy computations has to be performed in order to evaluate the complexity of the algorithms.