Synchronization of Reaction-Diffusion Neural Networks by Passive Approach

In this article, the synchronization of reaction-diffusion neural network with discontinuous activation functions is discussed. First, the differential inclusion theory is utilized to deal with discontinuous activation functions. Secondly, the synchronization conditions are obtained in the sense of the finite-time output strictly passive through adaptive controller, Green's theorem, Lyapunov stability theory and Yong's inequality. Finally, a numerical example is given to verify the validity of the obtained results.

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Published
2025-05-23
DOI
https://doi.org/10.1109/icetci64844.2025.11084154
Primary Topic
Neural Networks and Applications
Type
article
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article

Synchronization of Reaction-Diffusion Neural Networks by Passive Approach

Kaichen Wang
Neural Networks and Applications
article

Synchronization of Reaction-Diffusion Neural Networks by Passive Approach

Kaichen Wang
article en

Abstract

In this article, the synchronization of reaction-diffusion neural network with discontinuous activation functions is discussed. First, the differential inclusion theory is utilized to deal with discontinuous activation functions. Secondly, the synchronization conditions are obtained in the sense of the finite-time output strictly passive through adaptive controller, Green's theorem, Lyapunov stability theory and Yong's inequality. Finally, a numerical example is given to verify the validity of the obtained results.

China University of Geosciences (Beijing) (CN)
Openalex Percentile: Top 91%
Neural Networks and Applications
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Synchronization of Reaction-Diffusion Neural Networks by Passive Approach — Kaichen Wang · (2025) | TGRS Research Map | TGRS