@inproceedings{93424b926e184ffaa05962dd92a4711c,
title = "Asymptotic consensus tracking of uncertain multi-agent systems with a high-dimensional leader: A neuro-adaptive approach",
abstract = "In this note, the asymptotic consensus tracking problem is addressed for uncertain multi-agent systems (MASs) with undirected communication topologies and a high-dimensional leader, where the uncertainties may contain unmodeled dynamics and external disturbance which are prior unknown. To remove the effect of high-dimensional leader, an observer based compensation controller is firstly designed. A neural-adaptive based feedback controller is then designed. Note that the feedback term contains a discontinuous controller which is used to eliminate the effect of imprecise approximation of neural network. Furthermore, if the leader is assumed to be globally reachable, it is shown that asymptotic consensus tracking is achieved in MAS by choosing appropriate control parameters. The obtained theoretical result is finally validated by simulation.",
keywords = "Asymptotic consensus tracking, High-dimensional leader, Multiagent system, Neuro-adaptive",
author = "Peijun Wang and Xinghuo Yu and Wenwu Yu and Guanghui Wen and Jinhu L{\"u}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 ; Conference date: 20-10-2018 Through 23-10-2018",
year = "2018",
month = dec,
day = "26",
doi = "10.1109/IECON.2018.8591072",
language = "英语",
series = "Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6162--6166",
booktitle = "Proceedings",
address = "美国",
}