Control Barrier Functions for Systems with High Relative Degree
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Abstract (arXiv)
This paper extends control barrier functions (CBFs) to high order control barrier functions (HOCBFs) that can be used for high relative degree constraints. The proposed HOCBFs are more general than recently proposed (exponential) HOCBFs. We introduce high order barrier functions (HOBF), and show that their satisfaction of Lyapunov-like conditions implies the forward invariance of the intersection of a series of sets. We then introduce HOCBF, and show that any control input that satisfies the HOCBF constraints renders the intersection of a series of sets forward invariant. We formulate optimal control problems with constraints given by HOCBF and control Lyapunov functions (CLF) and analyze the influence of the choice of the class K functions used in the definition of the HOCBF on the size of the feasible control region. We also provide a promising method to address the conflict between HOCBF constraints and control limitations by penalizing the class K functions. We illustrate the proposed method on an adaptive cruise control problem.
Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Mar 2019.
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Citing papers per year: 2021: 1; 2022: 7; 2023: 11; 2024: 5; 2025: 3; 2026: 4.
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- 2023SafeDiffuser: Safe Planning with Diffusion Probabilistic Modelscited by 75
- 2023Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Modelscited by 59
- 2022Safe Control Under Input Limits with Neural Control Barrier Functionscited by 29
- 2024CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planningcited by 21
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrationscited by 20
- 2023Exact Verification of ReLU Neural Control Barrier Functionscited by 14
- 2024Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagationcited by 12
- 2022On the Forward Invariance of Neural ODEscited by 11
- 2023Online Control Barrier Functions for Decentralized Multi-Agent Navigationcited by 11
- 2022Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Drivingcited by 10
- 2023Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidancecited by 9
- 2022Differentiable Safe Controller Design through Control Barrier Functionscited by 8
19 more
- 2025Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Controlcited by 8
- 2022Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approachcited by 6
- 2023Learning Robust and Correct Controllers from Signal Temporal Logic Specifications Using BarrierNetcited by 6
- 2023Learning Stability Attention in Vision-based End-to-end Driving Policiescited by 5
- 2024Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersectionscited by 4
- 2026See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selectioncited by 4
- 2023Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functionscited by 3
- 2023Learning Adaptive Safety for Multi-Agent Systemscited by 3
- 2024Agile Decision-Making and Safety-Critical Motion Planning for Emergency Autonomous Vehiclescited by 3
- 2022Gaussian Control Barrier Functions : A Non-Parametric Paradigm to Safetycited by 2
- 2023Learning Feasibility Constraints for Control Barrier Functionscited by 2
- 2023Trust-Aware Resilient Control and Coordination of Connected and Automated Vehiclescited by 2
- 2022Robust AI Driving Strategy for Autonomous Vehiclescited by 1
- 2024The Feasibility Theory of Constrained Reinforcement Learning: A Tutorial Studycited by 1
- 2026Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Roboticscited by 1
- 2025Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimizationcited by 0
- 2025Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllerscited by 0
- 2026End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layerscited by 0
- 2026Predictive Semantic Safety: From Visual Physical Reasoning to Safety-Critical Controlcited by 0
- 2026Predictive Semantic Safety: From Visual Physical Reasoning to Safety-Critical Control28 Sep 2026
- 2026End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers22 Jul 2026
- 2026Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics1 Jun 2026
- 2026See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection15 Jan 2026
- 2025Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers11 Apr 2025
- 2025Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization25 Mar 2025
- 2025Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control5 Feb 2025
- 2024Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections29 Nov 2024
- 2024Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation4 Oct 2024
- 2024Agile Decision-Making and Safety-Critical Motion Planning for Emergency Autonomous Vehicles13 Sep 2024
- 2024CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning2 May 2024
- 2024The Feasibility Theory of Constrained Reinforcement Learning: A Tutorial Study15 Apr 2024
19 more
- 2023Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models26 Oct 2023
- 2023Exact Verification of ReLU Neural Control Barrier Functions13 Oct 2023
- 2023Learning Adaptive Safety for Multi-Agent Systems19 Sep 2023
- 2023Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions6 Sep 2023
- 2023Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance6 Jul 2023
- 2023SafeDiffuser: Safe Planning with Diffusion Probabilistic Models31 May 2023
- 2023Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles26 May 2023
- 2023Learning Robust and Correct Controllers from Signal Temporal Logic Specifications Using BarrierNet12 Apr 2023
- 2023Learning Stability Attention in Vision-based End-to-end Driving Policies5 Apr 2023
- 2023Learning Feasibility Constraints for Control Barrier Functions10 Mar 2023
- 2023Online Control Barrier Functions for Decentralized Multi-Agent Navigation8 Mar 2023
- 2022Safe Control Under Input Limits with Neural Control Barrier Functions20 Nov 2022
- 2022On the Forward Invariance of Neural ODEs10 Oct 2022
- 2022Differentiable Safe Controller Design through Control Barrier Functions20 Sep 2022
- 2022Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach3 Aug 2022
- 2022Robust AI Driving Strategy for Autonomous Vehicles16 Jul 2022
- 2022Gaussian Control Barrier Functions : A Non-Parametric Paradigm to Safety29 Mar 2022
- 2022Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving4 Mar 2022
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations18 Nov 2021
- 2023Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Modelscited by 59
- 2022Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Drivingcited by 10
- 2023Learning Stability Attention in Vision-based End-to-end Driving Policiescited by 5
- 2026See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selectioncited by 4
- 2024Agile Decision-Making and Safety-Critical Motion Planning for Emergency Autonomous Vehiclescited by 3
- 2022Robust AI Driving Strategy for Autonomous Vehiclescited by 1
- 2026See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection15 Jan 2026
- 2024Agile Decision-Making and Safety-Critical Motion Planning for Emergency Autonomous Vehicles13 Sep 2024
- 2023Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models26 Oct 2023
- 2023Learning Stability Attention in Vision-based End-to-end Driving Policies5 Apr 2023
- 2022Robust AI Driving Strategy for Autonomous Vehicles16 Jul 2022
- 2022Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving4 Mar 2022
- 2022Safe Control Under Input Limits with Neural Control Barrier Functionscited by 29
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrationscited by 20
- 2023Exact Verification of ReLU Neural Control Barrier Functionscited by 14
- 2024Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagationcited by 12
- 2022On the Forward Invariance of Neural ODEscited by 11
- 2023Online Control Barrier Functions for Decentralized Multi-Agent Navigationcited by 11
- 2023Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidancecited by 9
- 2022Differentiable Safe Controller Design through Control Barrier Functionscited by 8
- 2025Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Controlcited by 8
- 2022Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approachcited by 6
- 2023Learning Robust and Correct Controllers from Signal Temporal Logic Specifications Using BarrierNetcited by 6
- 2024Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersectionscited by 4
12 most cited of 21 All 21 (JSON)
- 2026End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers22 Jul 2026
- 2026Permissive Safety Through Trusted Inference: Verifiable Belief-Space Neural Safety Filters for Assured Interactive Robotics1 Jun 2026
- 2025Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers11 Apr 2025
- 2025Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization25 Mar 2025
- 2025Discrete GCBF Proximal Policy Optimization for Multi-agent Safe Optimal Control5 Feb 2025
- 2024Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections29 Nov 2024
- 2024Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation4 Oct 2024
- 2023Exact Verification of ReLU Neural Control Barrier Functions13 Oct 2023
- 2023Learning Adaptive Safety for Multi-Agent Systems19 Sep 2023
- 2023Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions6 Sep 2023
- 2023Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance6 Jul 2023
- 2023Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles26 May 2023
12 newest of 21 All 21 (JSON)