@inproceedings{ca6aab76cfd34964ab835a6edd410061,
title = "Distributed Adaptive Event-Triggered Consensus with Discrete Control Updating",
abstract = "This paper considers the distributed consensus control problem constrained by discrete communications among neighboring agents and discrete control updating. For undirected graphs, we progressively propose several event-triggered protocols composed of controllers and event-triggered conditions. For directed graphs, we include time-varying coupling gains plus monotonically increasing functions into both the two components of the protocol, in order to avoid the requirement of global information and provide extra freedom for design. It is shown that the presented event-triggered protocols can guarantee that all agents converge to a common state and Zeno behavior is excluded. Compared to the existing papers, the main contribution of this paper is that the protocols here are able to reduce the frequency of communication and control updating, and can be used in directed graphs. Numerical examples are provided to verify the effectiveness of the proposed event-triggered protocols.",
keywords = "Multi-agent systems, adaptive control, consensus, directed graph, discrete update, event-triggered control",
author = "Bin Cheng and Yuezu Lv and Zhongkui Li",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 59th IEEE Conference on Decision and Control, CDC 2020 ; Conference date: 14-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
day = "14",
doi = "10.1109/CDC42340.2020.9303762",
language = "English",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2793--2798",
booktitle = "2020 59th IEEE Conference on Decision and Control, CDC 2020",
address = "United States",
}