@inproceedings{4ea63e14fe244f7784e00282a6c4276c,
title = "Robust State Agreement of Nonlinear Multi-agent Systems Subject to Measurement Disturbances",
abstract = "This paper studies the robust state agreement of nonlinear multi-agent systems in the presence of measurement disturbances. With the switching topology satisfying a mild joint connectivity condition, it is proved that robust state agreement can be achieved if the interaction functions are radially unbounded and satisfy a sector bound condition. If the conditions are not satisfied, a local robust state agreement result is also developed.",
keywords = "Measurement disturbances, Multi-agent systems, Robust state agreement, Switching topology",
author = "Zhanxiu Wang and Tengfei Liu and Jiang, {Zhong Ping}",
note = "Funding Information: This work was supported in part by NSF grant ECCS-1501044, in part by NSFC grants 61522305, 61633007 and 61533007, and in part by State Key Laboratory of Intelligent Control and Decision of Complex Systems at BIT. Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8483861",
language = "English (US)",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "7118--7123",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
}