A class of unified disturbance rejection control barrier functions
Xinyang Wang, Wei Xiao, and Hongwei Zhang

TL;DR
This paper introduces a new class of disturbance rejection control barrier functions (DRCBFs) that ensure safety under various bounded disturbances, including non-differentiable and unmatched types, without needing disturbance bounds.
Contribution
The paper proposes DRCBFs and adaptive DRCBFs that handle general bounded disturbances, extending robustness to non-differentiable and unmatched cases without prior disturbance bound knowledge.
Findings
DRCBFs guarantee safety under diverse disturbances
aDRCBFs do not require disturbance bound information
Simulation shows DRCBFs outperform existing methods
Abstract
Most existing robust control barrier functions (CBFs) can only handle matched disturbances, restricting their applications in real-world scenarios. While some recent advances extend robust CBFs to unmatched disturbances, they heavily rely on differentiability property of disturbances, and fail to accommodate non-differentiable case for high-relative-degree safety constraints. To address these limitations, this paper proposes a class of disturbance rejection CBFs (DRCBFs), including DRCBFs and adaptive DRCBFs (aDRCBFs). This class of DRCBFs can strictly guarantee safety under general bounded disturbances, which includes both matched or unmatched, differentiable or non-differentiable disturbances as special cases. Morevoer, no information of disturbance bound is needed in aDRCBFs. Simulation results illustrate that this class of DRCBFs outperform existing robust CBFs.
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Taxonomy
TopicsStability and Control of Uncertain Systems · Advanced Control Systems Optimization · Adaptive Control of Nonlinear Systems
