Pinning Event-Triggered Scheme for Synchronization of Delayed Uncertain Memristive Neural Networks

Pinning Event-Triggered Scheme for Synchronization of Delayed Uncertain Memristive Neural Networks

To reduce the communication and computation overhead of neural networks, a novel pinning event-triggered scheme (PETS) is developed in this paper, which enables pinning synchronization of uncertain coupled memristive neural networks (CMNNs) under limited resources. Time-varying delays, uncertainties...

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Bibliographic Details
Published in:Mathematics (Basel) Vol. 12; no. 6; p. 821
Main Authors: Fan, Jiejie, Ban, Xiaojuan, Yuan, Manman, Zhang, Wenxing
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-03-2024
Subjects:
Algorithms
Analysis
Artificial intelligence
Brain
Communication
Energy costs
Error analysis
event-triggered mechanism
memristor
Neural networks
Pinning
pinning control
Social networks
Stability analysis
Synchronism
synchronization
Zeno behavior
China
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Summary:To reduce the communication and computation overhead of neural networks, a novel pinning event-triggered scheme (PETS) is developed in this paper, which enables pinning synchronization of uncertain coupled memristive neural networks (CMNNs) under limited resources. Time-varying delays, uncertainties, and mismatched parameters are all considered, which makes the system more interpretable. In addition, from the low energy cost point of view, an algorithm for pinned node selection is designed to further investigate the newly event-triggered function under limited communication resources. Meanwhile, based on the PETS and following the Lyapunov functional method, sufficient conditions for the pinning exponential stability of the proposed coupled error system are formulated, and the analysis of the self-triggered method shows that our method can efficiently avoid Zeno behavior under the newly determined triggered conditions, which contribute to better PETS performance. Extensive experiments demonstrate that the PETS significantly outperforms the existing schemes in terms of solution quality.
ISSN:2227-7390
2227-7390
DOI:10.3390/math12060821