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|Title:||Periodic Event-Triggered Average Consensus over Directed Graphs||Authors:||Meng, Xiangyu
Soh, Yeng Chai
Pappas, George J.
|Keywords:||Event Triggered Control
|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
|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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