Robust Control Barrier Functions with Sector-Bounded Uncertainties
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Abstract (arXiv)
This paper focuses on safety critical control with sector-bounded uncertainties at the plant input. The uncertainties can represent nonlinear and/or time-varying components. We propose a new robust control barrier function (RCBF) approach to enforce safety requirements in the presence of these uncertainties. The primary objective is to minimally alter the given baseline control command to guarantee safety in the presence of modeled uncertainty. The resulting min-norm optimization problem can be recast as a Second-Order Cone Program (SOCP) to enable online implementation. Properties of this controller are studied and a numerical example is provided to illustrate the effectiveness of this approach.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Sep 2021.
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Citing papers per year: 2022: 2; 2023: 2; 2024: 3; 2025: 1.
8 papers.
- 2022Synthesis of Stabilizing Recurrent Equilibrium Network Controllerscited by 8
- 2023Learning Predictive Safety Filter via Decomposition of Robust Invariant Setcited by 3
- 2024Learning Control Barrier Functions and their application in Reinforcement Learning: A Surveycited by 3
- 2024DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safetycited by 3
- 2022Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functionscited by 2
- 2023ConBaT: Control Barrier Transformer for Safe Policy Learningcited by 2
- 2025SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planningcited by 2
- 2024Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Modelscited by 1
- 2025SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning7 Nov 2025
- 2024DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety30 Jun 2024
- 2024Learning Control Barrier Functions and their application in Reinforcement Learning: A Survey22 Apr 2024
- 2024Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Models29 Feb 2024
- 2023Learning Predictive Safety Filter via Decomposition of Robust Invariant Set12 Nov 2023
- 2023ConBaT: Control Barrier Transformer for Safe Policy Learning7 Mar 2023
- 2022Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions23 Aug 2022
- 2022Synthesis of Stabilizing Recurrent Equilibrium Network Controllers31 Mar 2022