JOURNAL ARTICLE

Event-triggered network-based synchronization of complex networks with neutral neural network nodes

Abstract

This paper focuses on the event-triggered network-based synchronization problem for a class of complex networks with delayed couplings. The dynamic of each node in the considered networks is described by a neutral neural network. The remote master and the complex networks transmit signals mutually through the common communication channels, which include network-induced delays and stochastic fluctuations. An event-triggering scheme is proposed and utilized when the controller transfer signals to the complex networks. A state error system is formulated in which the event-triggering scheme is concerned with. By using Lyapunov method and some properties of Kronecker product, some synchronization criteria are derived to ensure the global mean-square exponential synchronization of state trajectories of the remote master and the coupled dynamic networks. The event-triggered controller design method is further proposed.

Keywords:
Computer science Synchronization (alternating current) Kronecker product Node (physics) Artificial neural network Event (particle physics) Controller (irrigation) Synchronization networks Control theory (sociology) Distributed computing Kronecker delta Computer network Control (management) Artificial intelligence Engineering

Metrics

2
Cited By
0.33
FWCI (Field Weighted Citation Impact)
27
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Nonlinear Dynamics and Pattern Formation
Physical Sciences →  Computer Science →  Computer Networks and Communications
stochastic dynamics and bifurcation
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
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