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Fixed-time event-triggered synchronization of a multilayer Kuramoto-oscillator network

Authors :
Changyin Sun
Yuanda Wang
Yao Yu
Jia Sun
Jian Liu
Source :
Neurocomputing. 379:214-226
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

This paper investigates the synchronization problem of the Kuramoto-oscillator network with non-identical oscillators. The fixed-time event-triggered synchronization control strategies are developed for phase agreement and frequency synchronization under both continuous and intermittent communication. With the developed fixed-time controller, the synchronization can be achieved within a pre-defined time for any initial phase of each oscillator. The event-triggered mechanism avoids continuous controller update and data transmission, which significantly saves the computation and communication resources. Furthermore, theoretical analysis shows that the fixed-time convergence can be guaranteed and the Zeno behavior is avoided by the proposed methods. The numerical simulations of each situation also verify the effectiveness of the proposed synchronization control strategies.

Details

ISSN :
09252312
Volume :
379
Database :
OpenAIRE
Journal :
Neurocomputing
Accession number :
edsair.doi...........8c1064b81c2abddaf8c9abd21adb2bf4