Finite-Time Synchronization of Fractional-Order Quaternion-Valued Delayed Cohen-Grossberg Neural Networks

被引:0
|
作者
Wu, Zhongwen [1 ]
Nie, Xiaobing [1 ]
机构
[1] Southeast Univ, Sch Math, Nanjing 211189, Peoples R China
基金
中国国家自然科学基金;
关键词
Finite-time synchronization; Fractional-order derivative; Quaternion-valued Cohen-Grossberg neural networks; Time delay; MITTAG-LEFFLER STABILITY; ASYMPTOTIC STABILITY; COMPLEX NETWORKS;
D O I
10.1007/s11063-023-11419-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The finite-time synchronization (FTS) is investigated in this paper for delayed fractional-order quaternion-valued Cohen-Grossberg neural networks (FQVCGNNs). First, a fractional-order finite-time stability theorem is established by using the definition of fractional-order integral and reduction to absurdity. Next, two novel quaternion-valued feedback controller and quaternion-valued adaptive controller are designed respectively to achieve the FTS of FQVCGNNs. Then, without the participation of sign function, applying the non-decomposition method, the established finite-time stability theorem and constructing suitable quaternion-valued Lyapunov function, some less conservative and easily verifiable criteria are presented to ensure the FTS of the addressed system. Meanwhile, the settling time of FTS is effectively estimated, which depends on the controller parameters and the fractional order of the considered system. Finally, two numerical examples are provided to show the validity of the obtained results.
引用
收藏
页码:12255 / 12271
页数:17
相关论文
共 50 条
  • [1] Finite-Time Synchronization of Fractional-Order Quaternion-Valued Delayed Cohen-Grossberg Neural Networks
    Zhongwen Wu
    Xiaobing Nie
    Neural Processing Letters, 2023, 55 : 12255 - 12271
  • [2] Finite-time adaptive synchronization of fractional-order delayed quaternion-valued fuzzy neural networks
    Chen, Shenglong
    Li, Hong-Li
    Wang, Leimin
    Hu, Cheng
    Jiang, Haijun
    Li, Zhiming
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2023, 28 (04): : 804 - 823
  • [3] Finite-time synchronization of delayed fractional-order quaternion-valued memristor-based neural networks
    Ding, Dawei
    You, Ziruo
    Hu, Yongbing
    Yang, Zongli
    Ding, Lianghui
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2021, 35 (03):
  • [4] Finite-time projective synchronization of fractional-order delayed quaternion-valued fuzzy memristive neural networks
    He, Yan
    Zhang, Weiwei
    Zhang, Hai
    Cao, Jinde
    Alsaadi, Fawaz E.
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2024, 29 (03): : 401 - 425
  • [5] New inequalities to finite-time synchronization analysis of delayed fractional-order quaternion-valued neural networks
    Yan, Hongyun
    Qiao, Yuanhua
    Duan, Lijuan
    Miao, Jun
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (12): : 9919 - 9930
  • [6] New inequalities to finite-time synchronization analysis of delayed fractional-order quaternion-valued neural networks
    Hongyun Yan
    Yuanhua Qiao
    Lijuan Duan
    Jun Miao
    Neural Computing and Applications, 2022, 34 : 9919 - 9930
  • [7] Finite-time synchronization of fractional-order fuzzy Cohen-Grossberg neural networks with time delay
    Zhao, F.
    Jian, J.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2022, 19 (05): : 47 - 61
  • [8] Finite-time lag projective synchronization of delayed fractional-order quaternion-valued neural networks with parameter uncertainties
    Shang, Weiying
    Zhang, Weiwei
    Zhang, Hai
    Zhang, Hongmei
    Cao, Jinde
    Alsaadi, Fawaz E.
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2023, 28 (02): : 228 - 249
  • [9] Finite-time synchronization for fractional-order quaternion-valued coupled neural networks with saturated impulse
    Mo, Wenjun
    Bao, Haibo
    CHAOS SOLITONS & FRACTALS, 2022, 164
  • [10] Novel methods of finite-time synchronization of fractional-order delayed memristor-based Cohen-Grossberg neural networks
    Du, Feifei
    Lu, Jun-Guo
    NONLINEAR DYNAMICS, 2023, 111 (20) : 18985 - 19001