Event-Triggered Synchronization of Coupled Neural Networks with Reaction–Diffusion Terms

This paper focuses on the event-triggered synchronization of coupled neural networks with reaction–diffusion terms. At first, an effective event-triggered controller was designed based on time sampling. It is worth noting that the data of the controller for this type can be updated only when corresp...

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Bibliographic Details
Published inMathematics (Basel) Vol. 12; no. 9; p. 1409
Main Authors Aili, Abulajiang, Chen, Shenglong, Zhang, Sibao
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2024
Subjects
Control systems
Control systems design
Controllers
coupled neural networks
Euclidean space
Event triggered control
Inequality
Information processing
Neural networks
Partial differential equations
reaction–diffusion terms
Synchronism
synchronization
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Summary:This paper focuses on the event-triggered synchronization of coupled neural networks with reaction–diffusion terms. At first, an effective event-triggered controller was designed based on time sampling. It is worth noting that the data of the controller for this type can be updated only when corresponding triggering conditions are satisfied, which can significantly reduce the communication burden of the control systems compared to other control strategies. Furthermore, some sufficient criteria were obtained to ensure the event-triggered synchronization of the considered systems through the use of an inequality techniques as well as the designed controller. Finally, the validity of the theoretical results was confirmed using numerical examples.
ISSN:2227-7390
2227-7390
DOI:10.3390/math12091409