Fixed-time and prescribed-time synchronization of quaternion-valued neural networks: A control strategy involving Lyapunov functions.

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第一作者： Tao,Peng

第一单位： School of Mathematics and Statistics, Chongqing Three Gorges University, Wanzhou 404100, China; Department of Systems Science, School of Mathematics, Southeast University, Nanjing 210096, China. Electronic address: cqupengtao@126.com.

作者： Tao,Peng ^[1] ; Yanqiu,Wu ^[2] ; Zhengwen,Tu ^[3] ; A S,Alofi ^[4] ; Jianquan,Lu ^[5]

作者单位： School of Mathematics and Statistics, Chongqing Three Gorges University, Wanzhou 404100, China; Department of Systems Science, School of Mathematics, Southeast University, Nanjing 210096, China. Electronic address: cqupengtao@126.com. ^[1] School of Mathematics and Statistics, Chongqing Three Gorges University, Wanzhou 404100, China. Electronic address: wuyanqiu0516@126.com. ^[2] School of Mathematics and Statistics, Chongqing Three Gorges University, Wanzhou 404100, China. Electronic address: tuzhengwen@163.com. ^[3] Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Electronic address: aalofi1@kau.edu.sa. ^[4] Department of Systems Science, School of Mathematics, Southeast University, Nanjing 210096, China; School of Automation and Electrical Engineering, Linyi University, Linyi 276005, China. Electronic address: jqluma@seu.edu.cn. ^[5]

关键词 Finite-time synchronization Prescribed-time synchronization Quaternion-valued neural networks

主题词算法(Algorithms);时间因素(Time Factors)

DOI 10.1016/j.neunet.2022.12.014

PMID 36630738

发布时间 2023-03-06

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Neural networks

2023年160卷

108-121页

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Fixed-time and prescribed-time synchronization of quaternion-valued neural networks: A control strategy involving Lyapunov functions.

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Fixed-time and prescribed-time synchronization of quaternion-valued neural networks: A control strategy involving Lyapunov functions.

Neural networks

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Neural networks

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