观察员(物理)
控制理论(社会学)
二次方程
计算机科学
凸优化
近似误差
控制器(灌溉)
功能(生物学)
数学优化
正多边形
控制(管理)
学位(音乐)
数学
算法
量子力学
生物
物理
进化生物学
人工智能
几何学
声学
农学
标识
DOI:10.23919/acc53348.2022.9867262
摘要
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.
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