Search Results for author:
Found 6 papers, 1 papers with code
Fault Tolerant Neural Control Barrier Functions for Robotic Systems under Sensor Faults and Attacks
Control barrier function (CBF)-based approaches have been proposed to guarantee the safety of robotic systems.
Cooperative Perception for Safe Control of Autonomous Vehicles under LiDAR Spoofing Attacks
In this paper, we propose an approach to detect and mitigate LiDAR spoofing attacks by leveraging LiDAR scan data from other neighboring vehicles.
Barrier Certificate based Safe Control for LiDAR-based Systems under Sensor Faults and Attacks
We prove that the synthesized control input guarantees system safety using control barrier certificates.
Safe Control for Nonlinear Systems under Faults and Attacks via Control Barrier Functions
Safety is one of the most important properties of control systems.
Safety-Critical Control Synthesis for Unknown Sampled-Data Systems via Control Barrier Functions
By satisfying the constructed CBF constraint at each sampling time, we guarantee the unknown sampled-data system is safe for all time.
Generalized Uniformly Optimal Methods for Nonlinear Programming
In a similar vein, we show that some well-studied techniques for nonlinear programming, e. g., Quasi-Newton iteration, can be embedded into optimal convex optimization algorithms to possibly further enhance their numerical performance.
