activity
20232026
most citedExact Verification of ReLU Neural Control Barrier Functions

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2026

Verification Framework for the Union of Control Barrier Functions

Chuanrui Jiang, Andrew Clark

Control Barrier Functions (CBFs) have been proposed to ensure safety of autonomous systems. This paper considers control policies that switch between CBF constraints. Under this ap…

eess.SY2025

Stochastic Neural Control Barrier Functions

Hongchao Zhang, Manan Tayal, Jackson Cox +3

Control Barrier Functions (CBFs) are utilized to ensure the safety of control systems. CBFs act as safety filters in order to provide safety guarantees without compromising system…

eess.SY2024★ 2 cited

SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions

Hongchao Zhang, Zhizhen Qin, Sicun Gao +1

Neural Control Barrier Functions (NCBFs) have shown significant promise in enforcing safety constraints on nonlinear autonomous systems. State-of-the-art exact approaches to verify…

eess.SY2024

Verification and Synthesis of Compatible Control Lyapunov and Control Barrier Functions

Hongkai Dai, Chuanrui Jiang, Hongchao Zhang +1

Safety and stability are essential properties of control systems. Control Barrier Functions (CBFs) and Control Lyapunov Functions (CLFs) are powerful tools to ensure safety and sta…

cs.RO2024

Learning a Formally Verified Control Barrier Function in Stochastic Environment

Manan Tayal, Hongchao Zhang, Pushpak Jagtap +2

Safety is a fundamental requirement of control systems. Control Barrier Functions (CBFs) are proposed to ensure the safety of the control system by constructing safety filters or s…

cs.RO2024

Fault Tolerant Neural Control Barrier Functions for Robotic Systems under Sensor Faults and Attacks

Hongchao Zhang, Luyao Niu, Andrew Clark +1

Safety is a fundamental requirement of many robotic systems. Control barrier function (CBF)-based approaches have been proposed to guarantee the safety of robotic systems. However,…

cs.LG2023★ 2 cited

Exact Verification of ReLU Neural Control Barrier Functions

Hongchao Zhang, Junlin Wu, Yevgeniy Vorobeychik +1

Control Barrier Functions (CBFs) are a popular approach for safe control of nonlinear systems. In CBF-based control, the desired safety properties of the system are mapped to nonne…