Publication

Distributed event-triggered control for asymptotic synchronization of dynamical networks

Liu, T., Cao, M., De Persis, C. & Hendrickx, J. 21-Sep-2017 In : Automatica. 86, p. 199-204 6 p.

Research output: Scientific - peer-reviewArticle

Documents

  • Authors version: Distributed event-triggered control

    Final author's version, 539 KB, PDF-document

    Embargo ends: 21/09/2018

  • Distributed event-triggered control for asymptotic synchronization of dynamical networks

    Final publisher's version, 1 MB, PDF-document

DOI

This paper studies synchronization of dynamical networks with event-based communication. Firstly, two estimators are introduced into each node, one to estimate its own state, and the other to estimate the average state of its neighbours. Then, with these two estimators, a distributed event-triggering rule (ETR) with a dwell time is designed such that the network achieves synchronization asymptotically with no Zeno behaviours. The designed ETR only depends on the information that each node can obtain, and thus can be implemented in a decentralized way.
Original languageEnglish
Pages (from-to)199-204
Number of pages6
JournalAutomatica
Volume86
Early online date21-Sep-2017
StateE-pub ahead of print - 21-Sep-2017

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