Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81362
Title: Periodic Event-Triggered Average Consensus over Directed Graphs
Authors: Meng, Xiangyu
Xie, Lihua
Soh, Yeng Chai
Nowzari, Cameron
Pappas, George J.
Keywords: Event Triggered Control
Sampled-Data Control
Average Consensus
Multi-Agent Systems
Issue Date: 2015
Source: Meng, X., Xie, L., Soh, Y. C., Nowzari, C., & Pappas, G. J. (2015). Periodic Event-Triggered Average Consensus over Directed Graphs. 2015 IEEE 54th Annual Conference on Decision and Control (CDC), 4151-4156.
Abstract: This paper considers a multi-agent consensus problem over strongly connected and balanced directed graphs. Unlike many works that consider continuous or periodic communication and control strategies, we are interested in developing an event-triggered algorithm to reduce the overall load of the network in terms of limited communication and control updates. Furthermore, we focus on a sampled-data implementation that allows agents in a communication network to determine whether locally sampled information should be discarded or broadcasted to neighbors. This formulation allows us to automatically rule out Zeno behavior that is often a challenge in distributed event-triggered systems. We show that all agents eventually rendezvous at the centroid of their initial formation given an appropriate selection of the local sampling period and event-triggering parameters. We demonstrate the effectiveness of the proposed communication and control law through simulations.
URI: https://hdl.handle.net/10356/81362
http://hdl.handle.net/10220/39231
Rights: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://www.cdc2015.ctrl.titech.ac.jp/].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Conference Papers

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