@inproceedings{316db97b10604a5aaf6b4a195e81ce52,
title = "Formation control of multi-agent systems with switching topologies: An ILC-based distributed algorithm design",
abstract = "This paper deals with iterative formation control problems for multi-agent systems with switching topologies. Our approach combines consensus protocol algorithms conducted with an iterative learning control update. This leads to networks dynamically changing with evolution along two directions: a finite time axis and an infinite iteration axis. A distributed algorithm is constructed based on nearest neighbor information, and its convergence is established via a Roesser system-based two-dimensional approach. It is shown that a desired relative formation between agents can be achieved along a finite time trajectory if and only if the union of the interaction graphs between the agents over iteration intervals of finite length has a spanning tree for every time step. Simulations are included to illustrate the effectiveness of the derived results.",
keywords = "Formation control, distributed algorithm, iterative learning control, multi-agent system, switching topology",
author = "Deyuan Meng and Moore, \{Kevin L.\}",
note = "Publisher Copyright: {\textcopyright} 2015 American Automatic Control Council.; 2015 American Control Conference, ACC 2015 ; Conference date: 01-07-2015 Through 03-07-2015",
year = "2015",
month = jul,
day = "28",
doi = "10.1109/ACC.2015.7172097",
language = "英语",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "4874--4879",
booktitle = "ACC 2015 - 2015 American Control Conference",
address = "美国",
}