Abstract: This article investigates the problem of practical predefined-time formation tracking for multiple autonomous surface vehicles facing the case of lumped uncertainties (namely, model ...

Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...