Synchronization analysis of fractional delayed dynamical networks under switching topology

Abstract This article addresses the global synchronization of fractional dynamical networks with both delayed and non-delayed couplings under a switching topology, where the coupling configuration matrices need not be commutative. By utilizing a modified fractional Razumikhin technique, the common Lyapunov function method and graph theory, we present a convenient and effective approach to establish reliable algebraic criteria for global synchronization. Our method effectively overcomes the challenges associated with fractional calculus, time delays, and switching topologies. A key finding is that global synchronization can be achieved more rapidly by adding additional edges to the coupling configuration graphs. Additionally, an illustrative example is provided to demonstrate the effectiveness of our theoretical results.

Authors

Publication Details

Journal
Physica Scripta
Published
2024-12-30
DOI
https://doi.org/10.1088/1402-4896/ada405
Citations
1
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.35

Funders

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article

Synchronization analysis of fractional delayed dynamical networks under switching topology

Denghao Pang, Genan Pan, Song Liu
1 citations
Physica Scripta
Neural Networks Stability and Synchronization
0.35
article

Synchronization analysis of fractional delayed dynamical networks under switching topology

Denghao Pang, Genan Pan, Song Liu
article en
1 citations

Abstract

Abstract This article addresses the global synchronization of fractional dynamical networks with both delayed and non-delayed couplings under a switching topology, where the coupling configuration matrices need not be commutative. By utilizing a modified fractional Razumikhin technique, the common Lyapunov function method and graph theory, we present a convenient and effective approach to establish reliable algebraic criteria for global synchronization. Our method effectively overcomes the challenges associated with fractional calculus, time delays, and switching topologies. A key finding is that global synchronization can be achieved more rapidly by adding additional edges to the coupling configuration graphs. Additionally, an illustrative example is provided to demonstrate the effectiveness of our theoretical results.

Physica ScriptaVol. 100(2)
National Natural Science Foundation of China
Openalex Percentile: Top 35%
Neural Networks Stability and Synchronization
0.35
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