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Stabilization control of quaternion-valued fractional-order discrete-time memristive neural networks  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Stabilization control of quaternion-valued fractional-order discrete-time memristive neural networks

作者:Li, Ruoxia[1];Cao, Jinde[2,3];Li, Ning[4]

第一作者:Li, Ruoxia

通讯作者:Li, RX[1]

机构:[1]Shaanxi Normal Univ, Sch Math & Stat, Xian 710062, Peoples R China;[2]Southeast Univ, Sch Math, Nanjing 210096, Peoples R China;[3]Yonsei Univ, Yonsei Frontier Lab, Seoul 03722, South Korea;[4]Henan Univ Econ & Law, Coll Math & Informat Sci, Zhengzhou 450046, Henan, Peoples R China

第一机构:Shaanxi Normal Univ, Sch Math & Stat, Xian 710062, Peoples R China

通讯机构:[1]corresponding author), Shaanxi Normal Univ, Sch Math & Stat, Xian 710062, Peoples R China.

年份:2023

卷号:542

外文期刊名:NEUROCOMPUTING

收录:;EI(收录号:20231814043473);Scopus(收录号:2-s2.0-85154043753);WOS:【SCI-EXPANDED(收录号:WOS:000999525200001)】;

基金:This work was supported by the Young Talent fund of University Association for Science and Technology in Xi'an, China under grant No. 095920221333, the Natural Science Foundation of Shaanxi Provincial Department of Education under grant No. 2023-JC-YB-055, Shaanxi Fundamental Science Research Project for Mathematics and Physics under grant No. 22JSQ017, the National Natural Science Foundation of China under grant No. 62073122, and the Outstanding Youth Science Foundation Project of Henan Province under Grant No. 222300420022.

语种:英文

外文关键词:Quaternion-valued; Fractional-order; Memristive; Discrete-time; Stabilization

摘要:In this paper, the stabilization control of the memristive neural networks with discrete-time terms and fractional derivative is proposed. By employing the Lyapunov functional method and fully considering the integrity of the quaternion system, some sufficient criteria are derived based on nonlinear scalarization approach and several inequality techniques. The stabilization criteria are established in the form of algebraic inequality, which can be directly resolved by a simple calculation. Finally, two numerical examples are proposed to demonstrate the validity of theoretical results.(c) 2023 Elsevier B.V. All rights reserved.

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