Distributed Synchronization for Nonlinear Coupled Stochastic Networks with Time Delays Using Randomly Occurring Control

The study focuses on distributed synchronization in<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>a type of stochastic complex dynamical network characterized by time-varying delays and nonlinear coupling, subject to randomly occurring control. The proposed design involves a distributed adaptive controller with randomly occurring activation and control gain updates. By employing LaSalle's invariance principle, Lyapunov stability theory, the properties of the Kronecker product of matrices, etc., an appropriate Lyapunov functional is constructed to derive the criteria for synchronization in mean square for such networks.

Authors

Institutions

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/eiecs63941.2024.10800259
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distributed Synchronization for Nonlinear Coupled Stochastic Networks with Time Delays Using Randomly Occurring Control

Xiaoyan Liu
Neural Networks Stability and Synchronization
article

Distributed Synchronization for Nonlinear Coupled Stochastic Networks with Time Delays Using Randomly Occurring Control

Xiaoyan Liu
article en

Abstract

The study focuses on distributed synchronization in<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup>a type of stochastic complex dynamical network characterized by time-varying delays and nonlinear coupling, subject to randomly occurring control. The proposed design involves a distributed adaptive controller with randomly occurring activation and control gain updates. By employing LaSalle's invariance principle, Lyapunov stability theory, the properties of the Kronecker product of matrices, etc., an appropriate Lyapunov functional is constructed to derive the criteria for synchronization in mean square for such networks.

Jimei University (CN)
Openalex Percentile: Top 72%
Neural Networks Stability and Synchronization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.