@inproceedings{d30cc70295bb412b8c3a7bc8a52b90f9,
title = "Distributed Fault-Tolerant Prescribed-Time Time-Varying Formation Tracking for General Linear Multiagent Systems",
abstract = "This paper investigates the prescribed-time formation tracking control problem for general linear multiagent systems under actuator failures and unknown external disturbances. Firstly, a time-varying parametric Lyapunov equation is introduced to devise a distributed prescribed-time formation tracking protocol, enabling followers to follow the leader's state trajectory and form the expected formation within a prescribed time simultaneously. Subsequently, adaptive gains are developed to address actuator failures and unknown disturbances in a fully distributed manner without requiring global system parameters. Moreover, analysis of prescribed-time convergence for formation tracking errors is conducted through Lyapunov stability theory. Ultimately, the effecacy and feasibility of the proposed prescribed-time formation tracking protocol are verified by numerical simulation.",
keywords = "adaptive control, fault-tolerant, prescribed-time control, time-varying formation tracking",
author = "Yani Wang and Zhexin Shi and Jianglong Yu and Xiwang Dong and Zhang Ren",
note = "Publisher Copyright: {\textcopyright} 2025 Technical Committee on Control Theory, Chinese Association of Automation.; 44th Chinese Control Conference, CCC 2025 ; Conference date: 28-07-2025 Through 30-07-2025",
year = "2025",
doi = "10.23919/CCC64809.2025.11178593",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2516--2521",
editor = "Jian Sun and Hongpeng Yin",
booktitle = "Proceedings of the 44th Chinese Control Conference, CCC 2025",
address = "美国",
}