Synchronization of Networked Reaction-Diffusion Nonlinear Systems via Hybrid Control

This paper addresses the asymptotic synchronization problem for networked nonlinear reaction–diffusion systems under a novel hybrid control strategy. The hybrid controller consists of two components: impulsive control and continuous feedback control. By combining the comparison principle of impulsive systems with the introduction of a time-varying function and a power exponent to flexibly adjust the system, sufficient conditions for synchronization of networked nonlinear reaction–diffusion systems are derived, ensuring that the error dynamics between the network nodes converge to zero. Numerical simulations of a representative example are presented to demonstrate the practical validity and effectiveness of the proposed theoretical control scheme, confirming that the hybrid controller successfully achieves synchronization.

Authors

Institutions

Publication Details

Journal
Axioms
Published
2025-11-29
DOI
https://doi.org/10.3390/axioms14120885
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

Synchronization of Networked Reaction-Diffusion Nonlinear Systems via Hybrid Control

Guo‐Ping Jiang, Meilin Chen, Qian Ye, Dongfang Mao
Axioms
Neural Networks Stability and Synchronization
article

Synchronization of Networked Reaction-Diffusion Nonlinear Systems via Hybrid Control

Guo‐Ping Jiang, Meilin Chen, Qian Ye, Dongfang Mao
article en

Abstract

This paper addresses the asymptotic synchronization problem for networked nonlinear reaction–diffusion systems under a novel hybrid control strategy. The hybrid controller consists of two components: impulsive control and continuous feedback control. By combining the comparison principle of impulsive systems with the introduction of a time-varying function and a power exponent to flexibly adjust the system, sufficient conditions for synchronization of networked nonlinear reaction–diffusion systems are derived, ensuring that the error dynamics between the network nodes converge to zero. Numerical simulations of a representative example are presented to demonstrate the practical validity and effectiveness of the proposed theoretical control scheme, confirming that the hybrid controller successfully achieves synchronization.

AxiomsVol. 14(12)
Jiangnan University (CN), WuXi AppTec (China) (CN), Nanjing University of Posts and Telecommunications (CN), Wuxi Institute of Technology (CN)
Openalex Percentile: Top 56%
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.