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Distributed event-triggered control for asymptotic synchronization of dynamical networks

Authors: Tao Liu 0012; Ming Cao 0001; Claudio De Persis; Julien M. Hendrickx;

Distributed event-triggered control for asymptotic synchronization of dynamical networks

Abstract

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.

8 pages, 2 figues, 1 table

Country
Netherlands
Keywords

FOS: Computer and information sciences, asymptotic synchronization, dynamical networks, Systems and Control (eess.SY), Dynamical Systems (math.DS), Decentralized systems, Discrete event control/observation systems, Electrical Engineering and Systems Science - Systems and Control, Dynamical networks, Linear systems in control theory, Large-scale systems, Distributed event-triggered control, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Computer Science - Multiagent Systems, Mathematics - Dynamical Systems, Asymptotic synchronization, Control/observation systems governed by ordinary differential equations, distributed event-triggered control, Multiagent Systems (cs.MA)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
66
Top 1%
Top 10%
Top 10%
Green
bronze