@inproceedings{68c8ddb4f6534517ad5ecbe863c1edcd,
title = "Neuro-adaptive consensus tracking of multiagent systems with a high-dimensional leader and directed switching topologies",
abstract = "This brief addresses the practical consensus tracking problem for multiagent systems (MASs) with a high-dimensional leader and uncertain dynamics over directed switching topologies based on the neuro-adaptive approach. First, an observer is embedded in each follower to estimate the leader's state. And it is proven that the observer will track the leader asymptotically if the average dwell time (ADT) is sufficiently large. Furthermore, a discontinuous feedback controller plus a compensation controller is designed for each follower such that the error between the followers' states and their associated observers' states will converge into a bounded set. It is worth noting that the obtained residual error depends neither on the neural network (NN) approximation error nor on the external disturbances. Finally, a simulation is performed to validate the obtained theoretical result.",
keywords = "Consensus tracking, Directed switching topologies, High-dimensional leader, Multiagent systems, Neuro-adaptive",
author = "Guanghui Wen and Peijun Wang and Yuezu Lv",
note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",
year = "2019",
month = jul,
doi = "10.23919/ChiCC.2019.8865505",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "5966--5971",
editor = "Minyue Fu and Jian Sun",
booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",
address = "United States",
}