New Results on Quasi‐Dynamic Analysis of Quaternion‐Valued Memristive Neural Networks on Time Scales

ABSTRACT This note solves the quasi‐stability/synchronization for memristive neural networks on time scales. A novel Lemma is given to estimate the modulus of the quaternions, which avoids comparing the “size” of quaternions. Subsequently, a new scale‐limited Halanay inequality is given to solve the quasi‐synchronization control of the system in the time‐scale domain. The validity of the theoretical results is illustrated by two examples.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2026-02-15
DOI
https://doi.org/10.1002/mma.70582
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00
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New Results on Quasi‐Dynamic Analysis of Quaternion‐Valued Memristive Neural Networks on Time Scales

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Mathematical Methods in the Applied Sciences
Neural Networks Stability and Synchronization
article

New Results on Quasi‐Dynamic Analysis of Quaternion‐Valued Memristive Neural Networks on Time Scales

Ruoxia Li, Y.‐Z. Zhu, Xuguang Wei, Zhao‐Dong Xu, Jinde Cao
article en

Abstract

ABSTRACT This note solves the quasi‐stability/synchronization for memristive neural networks on time scales. A novel Lemma is given to estimate the modulus of the quaternions, which avoids comparing the “size” of quaternions. Subsequently, a new scale‐limited Halanay inequality is given to solve the quasi‐synchronization control of the system in the time‐scale domain. The validity of the theoretical results is illustrated by two examples.

Mathematical Methods in the Applied Sciences
Southeast University (CN), Shaanxi Normal University (CN)
Openalex Percentile: Top 61%
Neural Networks Stability and Synchronization
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