The proposed method estimates time‐varying parameters effectively, ensuring safety via a control barrier function.
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.
No takes yet. Share an insight, caveat, or question.
Diget et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: