Practical finite-time synchronization of delayed fuzzy cellular neural networks with fractional-order

被引：10
|
作者：
Du, Feifei [1 ]
Lu, Jun-Guo [2 ,3 ,4 ]
Zhang, Qing-Hao [2 ,3 ,4 ]
机构：
[1] Northwest A&F Univ, Coll Sci, Xianyang 712100, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[3] Minist Educ China, Key Lab Syst Control & Informat Proc, Shanghai 200240, Peoples R China
[4] Shanghai Engn Res Ctr Intelligent Control & Manage, Shanghai 200240, Peoples R China
来源：
INFORMATION SCIENCES | 2024年 / 667卷
基金：
中国国家自然科学基金;
关键词：
Fuzzy neural network; Fractional-order; Practical finite-time synchronization; Delay; STABILITY;
D O I：
10.1016/j.ins.2024.120457
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The practical finite -time (PFT) synchronization of fractional -order delayed fuzzy cellular neural networks (FODFCNNs) is presented in this article. Initially, a useful practical finite time (FT) stable lemma is developed, serving as an efficient instrument for the PFT synchronization of fractional -order systems. Subsequently, a new PFT synchronization criterion for FODFCNNs is derived using the designed controller and the aforementioned lemma. Simultaneously, the settling time for PFT synchronization is determined, relying on specific controller parameters and the initial conditions of the considered systems. Ultimately, the accuracy of the derived outcomes is confirmed through a numerical simulation.
引用
收藏
页数：10
相关论文
共 50 条
  • [1] Adaptive finite-time synchronization of fractional-order delayed fuzzy cellular neural networks
    Du, Feifei
    Lu, Jun-Guo
    FUZZY SETS AND SYSTEMS, 2023, 466
  • [2] Finite-time synchronization of fractional-order delayed memristive fuzzy neural networks
    Zhao, Feng
    Jian, Jigui
    Wang, Baoxian
    FUZZY SETS AND SYSTEMS, 2023, 467
  • [3] Finite-Time Synchronization of Fractional-Order Delayed Fuzzy Cellular Neural Networks With Parameter Uncertainties
    Du, Feifei
    Lu, Jun-Guo
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 31 (06) : 1769 - 1779
  • [4] 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
  • [5] Finite-time stability of fractional-order fuzzy cellular neural networks with time delays
    Du, Feifei
    Lu, Jun-Guo
    FUZZY SETS AND SYSTEMS, 2022, 438 : 107 - 120
  • [6] New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks
    Zhang, Weiwei
    Cao, Jinde
    Alsaedi, Ahmed
    Alsaadi, Fuad E.
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [7] Finite-time synchronisation of delayed fractional-order coupled neural networks
    Zhang, Shuailei
    Liu, Xinge
    Li, Xuemei
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2022, 53 (12) : 2597 - 2611
  • [8] Complete and finite-time synchronization of fractional-order fuzzy neural networks via nonlinear feedback control
    Li, Hong-Li
    Hu, Cheng
    Zhang, Long
    Jiang, Haijun
    Cao, Jinde
    FUZZY SETS AND SYSTEMS, 2022, 443 : 50 - 69
  • [9] 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
  • [10] Finite-time Synchronization of fractional-order complex-valued fuzzy cellular neural networks with time-varying delays
    Jin, Wenbin
    Cui, Wenxia
    Wang, Zhenjie
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (06) : 7341 - 7351
12345