Fixed-Time Synchronization of Memristive-Based NNs with Inertial Term via Intermittent Control

This paper directly investigates the fixed-time synchronization (FXTS) of delayed memristive-based neural networks with inertial term (IMNNs) by the periodically intermittent control approach. Different from the variable substitution technique utilized in the existing literature, this article considers the FXTS of delayed IMNNs via nonreduced-order method. Furthermore, by constructing suitable Lyapunov functional and periodic intermittent adaptive control strategy, we derive sufficient criteria to ensure the FXTS of the master-slave IMNNs and explicitly estimate the settling time.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/ddcls66240.2025.11065726
Citations
1
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
1.49

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article

Fixed-Time Synchronization of Memristive-Based NNs with Inertial Term via Intermittent Control

Yuxin Jiang, Song Chun Zhu
1 citations
Neural Networks Stability and Synchronization
1.49
article

Fixed-Time Synchronization of Memristive-Based NNs with Inertial Term via Intermittent Control

Yuxin Jiang, Song Chun Zhu
article en
1 citations

Abstract

This paper directly investigates the fixed-time synchronization (FXTS) of delayed memristive-based neural networks with inertial term (IMNNs) by the periodically intermittent control approach. Different from the variable substitution technique utilized in the existing literature, this article considers the FXTS of delayed IMNNs via nonreduced-order method. Furthermore, by constructing suitable Lyapunov functional and periodic intermittent adaptive control strategy, we derive sufficient criteria to ensure the FXTS of the master-slave IMNNs and explicitly estimate the settling time.

China University of Mining and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Neural Networks Stability and Synchronization
1.49
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