Safety Critical Control of a System With Element‐Wise Estimation of Unknown Time‐Varying Parameters
ABSTRACT This paper presents a method for guaranteeing the safety of a system with time‐varying parameters. First, we extend Dynamic Regressor Extension and Mixing to estimate time‐varying parameters with a finite‐time update rule, and present a bound on the estimation error. In the case of a constant parameter, we provide an improved lower bound on the update gain compared with the literature. Lastly, the parameter error bound is used to provide a Robust adaptive Control Barrier Function for systems with time‐varying parameters. We conduct a numerical simulation of a system with time‐varying parameters. The presented estimation method estimates the parameters with a smaller mean‐square error compared with methods from the literature. The presented control barrier function can keep the system safe despite parametric uncertainties.
Authors
- Emil Lykke Diget (ORCID: https://orcid.org/0000-0001-6743-5613)
- Yitaek Kim (ORCID: https://orcid.org/0000-0001-6884-4072)
- Christoffer Sloth (ORCID: https://orcid.org/0000-0002-3309-6278)
Institutions
- University of Southern Denmark (DK)
- Maersk (Denmark) (DK)
Publication Details
- Journal
- International Journal of Robust and Nonlinear Control
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1002/rnc.70116
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Innovationsfonden
- EUROfusion
- European Commission
- Euratom Research and Training Programme