@inproceedings{af9b81777e684fb7a584464f918edf26,
title = "Optimal Leader-Following Tracking Control for Multiagent Systems: A Fully Distributed Approach",
abstract = "In this paper, we are interested in optimal leader-following tracking control for multiagent systems (MASs). First, we model the MASs as dynamic process in which multiple followers track a leader, where a topology containing only one directed spanning tree is utilized to describe the interaction between agents. Second, we propose a global cost function and assume that each agent in the system devotes to minimizing it. Meanwhile, we design a fully distributed optimal tracking control protocol to simultaneously guarantee the consensus of MASs and the optimization of the energy cost function. Finally, the validity of the theoretical algorithm is demonstrated by a numerical example.",
keywords = "fully distributed, leader-following, multiagent systems (MASs), optimal, tracking control",
author = "Guan Huang and Zhuo Zhang and Weisheng Yan and Rongxin Cui and Shouxu Zhang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023 ; Conference date: 24-11-2023 Through 27-11-2023",
year = "2024",
doi = "10.1007/978-981-97-3324-8_9",
language = "英语",
isbn = "9789819733231",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "101--110",
editor = "Yongzhao Hua and Yishi Liu and Liang Han",
booktitle = "Proceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Optimization Technologies",
}