This paper considers the safety-critical control design problem with output measurements. An observer-based safety control framework that integrates the estimation error quantified observer and the control barrier function (CBF) approach is proposed. The function approximation technique is employed to approximate the uncertainties introduced by the state estimation error, and an adaptive CBF approach is proposed to design the safe controller which is obtained by solving a convex quadratic program (QP). Theoretical results for CBFs with a relative degree 1 and a higher relative degree are given individually. The effectiveness of the proposed control approach is demonstrated by two numerical examples.
@article{arxiv.2110.00923,
title = {Observer-based Control Barrier Functions for Safety Critical Systems},
author = {Yujie Wang and Xiangru Xu},
journal= {arXiv preprint arXiv:2110.00923},
year = {2023}
}