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Fixed-time event-triggered synchronization of a multilayer Kuramoto-oscillator network
- 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.
- Subjects :
- 0209 industrial biotechnology
Oscillation
Computer science
Cognitive Neuroscience
Computation
Phase (waves)
02 engineering and technology
Synchronization
Computer Science Applications
020901 industrial engineering & automation
Artificial Intelligence
Control theory
Synchronization (computer science)
0202 electrical engineering, electronic engineering, information engineering
Oscillator network
020201 artificial intelligence & image processing
Event triggered
Data transmission
Subjects
Details
- ISSN :
- 09252312
- Volume :
- 379
- Database :
- OpenAIRE
- Journal :
- Neurocomputing
- Accession number :
- edsair.doi...........8c1064b81c2abddaf8c9abd21adb2bf4