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Global Stochastic Synchronization of Kuramoto-Oscillator Networks With Distributed Control

Jie Wu, Xiang Li

2020IEEE Transactions on Cybernetics35 citationsDOI

Abstract

This article explores the global stochastic synchronization of the Kuramoto-oscillator networks with duplex topological structures. The initial phase diameter can be arbitrarily large and the coupling gain of the Kuramoto-oscillator networks can be relatively weak. In particular, two different scenarios of the noise diffusion process are introduced, which cover the noise affecting the sinusoidal coupling process in the Kuramoto-oscillator layer and the networked communication in the control layer, respectively. The local and global connectivity criteria, related to the network topologies, coupling strength, and control gains, are derived rigorously to achieve the global stochastic asymptotic phase agreement and frequency synchronization, respectively. Finally, the validity of the theoretical results is verified via numerical simulation, which further shows that phase agreement is robust to noise perturbation, while frequency synchronization is peculiarly sensitive.

Topics & Concepts

Synchronization networksSynchronization (alternating current)Network topologyTopology (electrical circuits)Control theory (sociology)Perturbation (astronomy)Phase noiseCoupling (piping)Kuramoto modelComputer scienceStatistical physicsPhysicsMathematicsControl (management)EngineeringComputer networkQuantum mechanicsOpticsCombinatoricsArtificial intelligenceMechanical engineeringNonlinear Dynamics and Pattern FormationNeural Networks Stability and SynchronizationGene Regulatory Network Analysis
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