1 code implementation • 28 Feb 2024 • Hongchao Zhang, Luyao Niu, Andrew Clark, Radha Poovendran
Control barrier function (CBF)-based approaches have been proposed to guarantee the safety of robotic systems.
no code implementations • 14 Feb 2023 • Hongchao Zhang, Zhouchi Li, Shiyu Cheng, Andrew Clark
In this paper, we propose an approach to detect and mitigate LiDAR spoofing attacks by leveraging LiDAR scan data from other neighboring vehicles.
no code implementations • 11 Aug 2022 • Hongchao Zhang, Shiyu Cheng, Luyao Niu, Andrew Clark
We prove that the synthesized control input guarantees system safety using control barrier certificates.
no code implementations • 11 Jul 2022 • Hongchao Zhang, Zhouchi Li, Andrew Clark
Safety is one of the most important properties of control systems.
no code implementations • 28 Sep 2021 • Luyao Niu, Hongchao Zhang, Andrew Clark
By satisfying the constructed CBF constraint at each sampling time, we guarantee the unknown sampled-data system is safe for all time.
no code implementations • 29 Aug 2015 • Saeed Ghadimi, Guanghui Lan, Hongchao Zhang
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.