Robust General Decay Synchronization of State and Spatial Diffusion Coupled Reaction-diffusion Memristive Neural Networks

This paper aims at the study of robust general decay synchronization (RGDS) of state and spatial diffusion coupled reaction-diffusion memristive neural networks (CRDMNNs). Firstly, the synchronization condition is proposed by designing an appropriate controller and constructing suitable Lyapunov functional to reach RGDS of the CRDMNNs with state coupling. Then, the synchronization criterion is established by using some inequality techniques, so that CRDMNNs with spatial diffusion coupling achieves RGDS. Finally, one numerical simulation example verifies the effectiveness of the result.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/csis-iac63491.2024.10919282
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Robust General Decay Synchronization of State and Spatial Diffusion Coupled Reaction-diffusion Memristive Neural Networks

Wenjing Duan, Tse Chiu Wong, Yanli Huang
Neural Networks Stability and Synchronization
article

Robust General Decay Synchronization of State and Spatial Diffusion Coupled Reaction-diffusion Memristive Neural Networks

Wenjing Duan, Tse Chiu Wong, Yanli Huang
article en

Abstract

This paper aims at the study of robust general decay synchronization (RGDS) of state and spatial diffusion coupled reaction-diffusion memristive neural networks (CRDMNNs). Firstly, the synchronization condition is proposed by designing an appropriate controller and constructing suitable Lyapunov functional to reach RGDS of the CRDMNNs with state coupling. Then, the synchronization criterion is established by using some inequality techniques, so that CRDMNNs with spatial diffusion coupling achieves RGDS. Finally, one numerical simulation example verifies the effectiveness of the result.

University of Strathclyde (GB), Tiangong University (CN)
Openalex Percentile: Top 66%
Neural Networks Stability and Synchronization
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