Permissive Barrier Certificates for Safe Stabilization Using Sum-of-squares
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Abstract (arXiv)
Motivated by the need to simultaneously guarantee safety and stability of safety-critical dynamical systems, we construct permissive barrier certificates in this paper that explicitly maximize the region where the system can be stabilized without violating safety constraints. An optimization strategy is developed to search for the maximum volume barrier certified region of safe stabilization. The barrier certified region, which is allowed to take any arbitrary shape, is proved to be strictly larger than safe regions generated with Lyapunov sublevel set based methods. The proposed approach effectively unites a Lyapunov function with multiple barrier functions that might not be compatible with each other. Iterative search algorithms are developed using sum-of-squares to compute the most permissive, that is, the maximum volume, barrier certificates. Simulation results of the iterative search algorithm demonstrate the effectiveness of the proposed method.
Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Feb 2018.
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Citing papers per year: 2021: 4; 2022: 2; 2023: 4; 2024: 2; 2025: 2.
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- 2023The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systemscited by 77
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrationscited by 19
- 2021Learning Robust Hybrid Control Barrier Functions for Uncertain Systemscited by 14
- 2024Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imaginationcited by 12
- 2023Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomycited by 9
- 2021Reactive and Safe Road User Simulations using Neural Barrier Certificatescited by 7
- 2023System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Modelscited by 5
- 2021Model Free Barrier Functions via Implicit Evading Maneuverscited by 3
- 2023ConBaT: Control Barrier Transformer for Safe Policy Learningcited by 2
- 2024Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Drivingcited by 1
- 2025Data-Driven Safety Verification using Barrier Certificates and Matrix Zonotopescited by 1
- 2022A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamicscited by 0
- 2025Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning24 Oct 2025
- 2025Data-Driven Safety Verification using Barrier Certificates and Matrix Zonotopes1 Apr 2025
- 2024Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving29 Oct 2024
- 2024Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination1 May 2024
- 2023System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models11 Dec 2023
- 2023The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems11 Sep 2023
- 2023Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy3 Sep 2023
- 2023ConBaT: Control Barrier Transformer for Safe Policy Learning7 Mar 2023
- 2022Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning16 Jun 2022
- 2022A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamics20 Feb 2022
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations18 Nov 2021
- 2021Reactive and Safe Road User Simulations using Neural Barrier Certificates14 Sep 2021
2 more
- 2023The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systemscited by 77
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrationscited by 19
- 2021Learning Robust Hybrid Control Barrier Functions for Uncertain Systemscited by 14
- 2024Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imaginationcited by 12
- 2023Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomycited by 9
- 2021Reactive and Safe Road User Simulations using Neural Barrier Certificatescited by 7
- 2023System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Modelscited by 5
- 2021Model Free Barrier Functions via Implicit Evading Maneuverscited by 3
- 2023ConBaT: Control Barrier Transformer for Safe Policy Learningcited by 2
- 2025Data-Driven Safety Verification using Barrier Certificates and Matrix Zonotopescited by 1
- 2022A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamicscited by 0
- 2022Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learningcited by 0
12 most cited of 13 All 13 (JSON)
- 2025Learning Neural Control Barrier Functions from Expert Demonstrations using Inverse Constraint Learning24 Oct 2025
- 2025Data-Driven Safety Verification using Barrier Certificates and Matrix Zonotopes1 Apr 2025
- 2024Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination1 May 2024
- 2023System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models11 Dec 2023
- 2023The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems11 Sep 2023
- 2023Deception Game: Closing the Safety-Learning Loop in Interactive Robot Autonomy3 Sep 2023
- 2023ConBaT: Control Barrier Transformer for Safe Policy Learning7 Mar 2023
- 2022Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning16 Jun 2022
- 2022A Barrier Certificate-based Simplex Architecture for Systems with Approximate and Hybrid Dynamics20 Feb 2022
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations18 Nov 2021
- 2021Reactive and Safe Road User Simulations using Neural Barrier Certificates14 Sep 2021
- 2021Model Free Barrier Functions via Implicit Evading Maneuvers27 Jul 2021
12 newest of 13 All 13 (JSON)