Learning Safe Neural Network Controllers with Barrier Certificates
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Abstract (arXiv)
We provide a novel approach to synthesize controllers for nonlinear continuous dynamical systems with control against safety properties. The controllers are based on neural networks (NNs). To certify the safety property we utilize barrier functions, which are represented by NNs as well. We train the controller-NN and barrier-NN simultaneously, achieving a verification-in-the-loop synthesis. We provide a prototype tool nncontroller with a number of case studies. The experiment results confirm the feasibility and efficacy of our approach.
Key facts. Cited by 16 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Sep 2020.
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Citing papers per year: 2021: 3; 2022: 3; 2023: 3; 2024: 4; 2025: 3.
16 papers.
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- 2023SafeDiffuser: Safe Planning with Diffusion Probabilistic Modelscited by 69
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrationscited by 19
- 2021BarrierNet: A Safety-Guaranteed Layer for Neural Networkscited by 11
- 2023Neural Abstractionscited by 11
- 2022Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Drivingcited by 10
- 2022On the Forward Invariance of Neural ODEscited by 10
- 2023A General Framework for Verification and Control of Dynamical Models via Certificate Synthesiscited by 6
- 2024Safe Reach Set Computation via Neural Barrier Certificatescited by 5
- 2024Certified Training with Branch-and-Bound for Lyapunov-stable Neural Controlcited by 3
- 2025Estimating Control Barriers from Offline Datacited by 3
- 2021Toward Neural-Network-Guided Program Synthesis and Verificationcited by 2
- 2022Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agentscited by 2
4 more
- 2024Myopically Verifiable Probabilistic Certificates for Safe Control and Learningcited by 1
- 2025Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocationcited by 1
- 2024ABNet: Attention BarrierNet for Safe and Scalable Robot Learningcited by 0
- 2025Safe Human Robot Navigation in Warehouse Scenariocited by 0
- 2025Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation9 Sep 2025
- 2025Safe Human Robot Navigation in Warehouse Scenario27 Mar 2025
- 2025Estimating Control Barriers from Offline Data21 Feb 2025
- 2024Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control27 Nov 2024
- 2024ABNet: Attention BarrierNet for Safe and Scalable Robot Learning18 Jun 2024
- 2024Safe Reach Set Computation via Neural Barrier Certificates29 Apr 2024
- 2024Myopically Verifiable Probabilistic Certificates for Safe Control and Learning23 Apr 2024
- 2023A General Framework for Verification and Control of Dynamical Models via Certificate Synthesis12 Sep 2023
- 2023SafeDiffuser: Safe Planning with Diffusion Probabilistic Models31 May 2023
- 2023Neural Abstractions27 Jan 2023
- 2022On the Forward Invariance of Neural ODEs10 Oct 2022
- 2022Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents8 Jul 2022
4 more
- 2022Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving4 Mar 2022
- 2021BarrierNet: A Safety-Guaranteed Layer for Neural Networks22 Nov 2021
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations18 Nov 2021
- 2021Toward Neural-Network-Guided Program Synthesis and Verification17 Mar 2021
- 2021Learning Robust Output Control Barrier Functions from Safe Expert Demonstrationscited by 19
- 2021BarrierNet: A Safety-Guaranteed Layer for Neural Networkscited by 11
- 2023Neural Abstractionscited by 11
- 2022On the Forward Invariance of Neural ODEscited by 10
- 2023A General Framework for Verification and Control of Dynamical Models via Certificate Synthesiscited by 6
- 2024Safe Reach Set Computation via Neural Barrier Certificatescited by 5
- 2024Certified Training with Branch-and-Bound for Lyapunov-stable Neural Controlcited by 3
- 2025Estimating Control Barriers from Offline Datacited by 3
- 2021Toward Neural-Network-Guided Program Synthesis and Verificationcited by 2
- 2022Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agentscited by 2
- 2024Myopically Verifiable Probabilistic Certificates for Safe Control and Learningcited by 1
- 2025Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocationcited by 1
12 most cited of 14 All 14 (JSON)
- 2025Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation9 Sep 2025
- 2025Safe Human Robot Navigation in Warehouse Scenario27 Mar 2025
- 2025Estimating Control Barriers from Offline Data21 Feb 2025
- 2024Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control27 Nov 2024
- 2024ABNet: Attention BarrierNet for Safe and Scalable Robot Learning18 Jun 2024
- 2024Safe Reach Set Computation via Neural Barrier Certificates29 Apr 2024
- 2024Myopically Verifiable Probabilistic Certificates for Safe Control and Learning23 Apr 2024
- 2023A General Framework for Verification and Control of Dynamical Models via Certificate Synthesis12 Sep 2023
- 2023Neural Abstractions27 Jan 2023
- 2022On the Forward Invariance of Neural ODEs10 Oct 2022
- 2022Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents8 Jul 2022
- 2021BarrierNet: A Safety-Guaranteed Layer for Neural Networks22 Nov 2021
12 newest of 14 All 14 (JSON)