@inproceedings{7b97d0cd70394371a4d2dbcf8aa5a3a2,
title = "A dynamical network framework with application to stability of power networks",
abstract = "We advocate and motivate in this paper a general framework for studying dynamical networks with both node (agent) and edge (communication) dynamics. Specifically, the agents interact with each other via transfer incident systems and dynamical communication channels. The potential of using the proposed framework to model network problems and architectures is demonstrated by a concrete example. The framework facilitates the study of stability and performance of various network dynamics. An application to angle stability of electrical power networks involving locally positive feedbacks is discussed as an illustrating example.",
author = "Dan Wang and Wei Chen and Khong, {Sei Zhen} and Ji Liu and Tamer Basar and Li Qiu",
note = "Funding Information: This work was partially supported by Research Grants Council of Hong Kong Special Administrative Region, China under the Theme-Based Research Scheme T23-701/14-N and Project GRF16201115. Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 56th IEEE Annual Conference on Decision and Control, CDC 2017 ; Conference date: 12-12-2017 Through 15-12-2017",
year = "2018",
month = jan,
day = "18",
doi = "10.1109/CDC.2017.8264084",
language = "English (US)",
series = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2924--2928",
booktitle = "2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017",
address = "United States",
}