2019
DOI: 10.48550/arxiv.1910.00980
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Exponential synchronization of Kuramoto oscillators with time delayed coupling

Abstract: We discuss the asymptotic frequency synchronization for the non-identical Kuramoto oscillators with time delayed interactions. We provide explicit lower bound on the coupling strength and upper bound on the time delay in terms of initial configurations ensuring exponential synchronization. This generalizes not only the frequency synchronization estimate by Choi et al. [Physica D, 241, (2012), 735-754] for the non-identical Kuramoto oscillators without time delays but also improves previous result by Schmidt e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 17 publications
0
1
0
Order By: Relevance
“…In addition, it is reasonable to introduce a delay in the model as a reaction time or simply as a time to receive the information from outside, in order to let the dynamics more realistic. For first order models, we refer to [5,8,10], while for delayed Cucker-Smale-type models we mention [6,7,15,25]. In particular, in very recent papers (see [9,18,23]), the authors analyzed modified Cucker-Smale models with distributed time delay, thanks to which agents are influenced by the other ones on a time interval [t − τ (t), t].…”
Section: Introductionmentioning
confidence: 99%
“…In addition, it is reasonable to introduce a delay in the model as a reaction time or simply as a time to receive the information from outside, in order to let the dynamics more realistic. For first order models, we refer to [5,8,10], while for delayed Cucker-Smale-type models we mention [6,7,15,25]. In particular, in very recent papers (see [9,18,23]), the authors analyzed modified Cucker-Smale models with distributed time delay, thanks to which agents are influenced by the other ones on a time interval [t − τ (t), t].…”
Section: Introductionmentioning
confidence: 99%