@article{Liu2025, 
author = {Xionghua Liu and Yang Zhang and Kai-Lun Huang and Jing-Zhe Xu and Chang-Duo Liang},
title = {Model-independent multi-target tracking of networked marine surface vehicles with predefined-time convergence performance},
year = {2025},
journal = {AIMS Mathematics},
volume = {10},
number = {12},
pages = {29107-29131},
keywords = {distributed model-independent control, multi-target tracking, networked marine surface vehicles, predefined-time stability},
url = {https://www.sciopen.com/article/10.3934/math.20251280},
doi = {10.3934/math.20251280},
abstract = {This paper mainly focuses on the model-independent multi-target tracking problem of the networked marine surface vehicles (NMSVs) while requiring that the settling time is limited to a predefined one. For addressing such a complex problem, a hierarchical control framework is employed, consisting of a predefined-time distributed estimator (PDE) algorithm and a model-independent predefined-time local tracking (MPLT) algorithm. To be specific, the PDE algorithm aims to estimate the virtual leaders states in a distributed fashion within a predefined time, so that each vehicle obtains its corresponding leaders' information. Based on these estimations, the MPLT algorithm is designed to achieve predefined-time multi-target tracking of the NMSVs. By conducting a rigorous Lyapunov stability analysis, the sufficient conditions guaranteeing the predefined-time stability of the closed-loop system are derived. Subsequently, simulation studies are presented to demonstrate the feasibility and superiority of the proposed approach.}
}