@inproceedings{26b8be1c5b3a474cb35ffe7fc23785a9,
title = "H2 suboptimal leader-follower consensus control of multi-agent systems",
abstract = "In this paper, we investigate the distributed H2 suboptimal leader-follower consensus control problem for linear multi-agent systems using dynamic output feedback. By considering an autonomous leader, a number of followers, and an associated H2 cost functional, we aim to design a distributed protocol to ensure that the leader-follower consensus is achieved while the associated H2 cost is smaller than an a priori given upper bound. To this end, we first show that the H2 suboptimal leader-follower consensus control problem can be equivalently derived as the H2 suboptimal control problem of a set of independent systems. Based on this, we then present a design method for computing a distributed protocol. The computation of the feedback gains involves two Riccati inequalities whose dimension matches the state dimension of the agents. A simulation example is provided to demonstrate the performance of the proposed protocol.",
keywords = "Distributed control, H optimal control, leader-follower systems, multi-agent systems, suboptimal control",
author = "Yuan Gao and Junjie Jiao and Sandra Hirche",
note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",
year = "2023",
month = jul,
day = "1",
doi = "10.1016/j.ifacol.2023.10.1348",
language = "English",
series = "IFAC-PapersOnLine",
publisher = "Elsevier B.V.",
number = "2",
pages = "2614--2619",
editor = "Hideaki Ishii and Yoshio Ebihara and Jun-ichi Imura and Masaki Yamakita",
booktitle = "IFAC-PapersOnLine",
edition = "2",
}