@article{0a8415ae31f645efb9aa9fddef6d9551,
title = "Distributed containment control of multi-agent systems with velocity and acceleration saturations",
abstract = "This paper studies the problem of distributed containment control for multi-agent systems modeled by double integrators. A new class of rotation-free distributed containment controllers with successive saturated loops is proposed for the challenging situation where the velocity and acceleration of each agent are required to stay within their desired ranges. It is proved that the objective of containment control is achievable if the parameters of the controllers satisfy a mild condition. Moreover, the desired ranges of the accelerations and the velocities are allowed to be very small, and the interconnection topology is allowed to be directed and switched.",
keywords = "Acceleration constraint, Containment control, Multi-agent systems, Switched topology, Velocity constraint",
author = "Tengfei Liu and Jia Qi and Jiang, {Zhong Ping}",
note = "Funding Information: This work was supported in part by National Natural Science Foundation of China grants 61633007 , 61533007 and U1911401 , in part by US National Science Foundation (NSF) grant EPCN-1903781 , and in part by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT, China . The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Zhihua Qu under the direction of Editor Daniel Liberzon. Funding Information: This work was supported in part by National Natural Science Foundation of China grants 61633007, 61533007 and U1911401, in part by US National Science Foundation (NSF) grant EPCN-1903781, and in part by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT, China . The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Zhihua Qu under the direction of Editor Daniel Liberzon. Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2020",
month = jul,
doi = "10.1016/j.automatica.2020.108992",
language = "English (US)",
volume = "117",
journal = "Automatica",
issn = "0005-1098",
publisher = "Elsevier Limited",
}