Exponential Extended Dissipative Synchronization of Memristive Quaternion Neural Networks With Multiple Time‐Varying Leakage Delays

ABSTRACT This paper studies the exponential extended dissipative synchronization control problem of memristive quaternion neural networks (MQNNs). The types of delays involve time‐varying leakage and distributed and transmission delays. First, an inequality related to solutions of the error system is established. Then, a novel and easy‐to‐implement controller is constructed to obtain an exponential extended dissipative synchronization criterion. Furthermore, an algorithm is put forward to solve nonlinear terms in the obtained criterion. Finally, the effectivity of the derived results is tested by two numerical examples. It is worth emphasizing that the exponential extended dissipative synchronization control problem for MQNNs under consideration is proceeded for the first time. In addition, the method proposed in this paper, with some minor modifications, may solve some practical problems in the analysis and design of MQNNs, especially for applications in areas such as secure communications, image encryption, or artificial intelligence systems.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2025-05-06
DOI
https://doi.org/10.1002/mma.11022
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

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article

Exponential Extended Dissipative Synchronization of Memristive Quaternion Neural Networks With Multiple Time‐Varying Leakage Delays

Jinbao Lan, Xian Zhang, Xiaochao Fang
1 citations
Mathematical Methods in the Applied Sciences
Advanced Memory and Neural Computing
0.73
article

Exponential Extended Dissipative Synchronization of Memristive Quaternion Neural Networks With Multiple Time‐Varying Leakage Delays

Jinbao Lan, Xian Zhang, Xiaochao Fang
article en
1 citations

Abstract

ABSTRACT This paper studies the exponential extended dissipative synchronization control problem of memristive quaternion neural networks (MQNNs). The types of delays involve time‐varying leakage and distributed and transmission delays. First, an inequality related to solutions of the error system is established. Then, a novel and easy‐to‐implement controller is constructed to obtain an exponential extended dissipative synchronization criterion. Furthermore, an algorithm is put forward to solve nonlinear terms in the obtained criterion. Finally, the effectivity of the derived results is tested by two numerical examples. It is worth emphasizing that the exponential extended dissipative synchronization control problem for MQNNs under consideration is proceeded for the first time. In addition, the method proposed in this paper, with some minor modifications, may solve some practical problems in the analysis and design of MQNNs, especially for applications in areas such as secure communications, image encryption, or artificial intelligence systems.

Mathematical Methods in the Applied SciencesVol. 48(12)
Harbin University (CN), Heilongjiang University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 29%
Advanced Memory and Neural Computing
0.73
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