Finite-Time Synchronization of Uncertain Fractional-Order Delayed Memristive Neural Networks via Adaptive Sliding Mode Control and Its Application

被引:28
|
作者
Jia, Tianyuan [1 ,2 ]
Chen, Xiangyong [1 ,2 ]
He, Liping [1 ]
Zhao, Feng [1 ,2 ]
Qiu, Jianlong [1 ,2 ]
机构
[1] Linyi Univ, Sch Automat & Elect Engn, Linyi 276005, Shandong, Peoples R China
[2] Linyi Univ, Key Lab Complex Syst & Intelligent Comp Univ Shan, Linyi 276005, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
finite-time synchronization; fractional-order memristive neural networks; adaptive terminal sliding mode control; secure communication; STABILITY; SYSTEMS; CRITERIA;
D O I
10.3390/fractalfract6090502
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Finite-time synchronization (FTS) of uncertain fractional-order memristive neural networks (FMNNs) with leakage and discrete delays is studied in this paper, in which the impacts of uncertain parameters as well as external disturbances are considered. First, the fractional-order adaptive terminal sliding mode control scheme (FATSMC) is designed, which can effectively estimate the upper bounds of unknown external disturbances. Second, the FTS of the master-slave FMNNs is realized and the corresponding synchronization criteria and the explicit expression of the settling time (ST) are obtained. Finally, a numerical example and a secure communication application are provided to demonstrate the validity of the obtained results.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Adaptive Synchronization for Uncertain Delayed Fractional-Order Hopfield Neural Networks via Fractional-Order Sliding Mode Control
    Meng, Bo
    Wang, Xiaohong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [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 Memristive Neural Networks With Fractional-Order
    Yang, Shuai
    Yu, Juan
    Hu, Cheng
    Jiang, Haijun
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (06): : 3739 - 3750
  • [4] Finite-time robust control of uncertain fractional-order Hopfield neural networks via sliding mode control
    喜彦贵
    于永光
    张硕
    海旭东
    Chinese Physics B, 2018, (01) : 227 - 231
  • [5] Finite-time robust control of uncertain fractional-order Hopfield neural networks via sliding mode control
    Xi, Yangui
    Yu, Yongguang
    Zhang, Shuo
    Hai, Xudong
    CHINESE PHYSICS B, 2018, 27 (01)
  • [6] Finite-time synchronization of fractional-order memristive neural networks via feedback and periodically intermittent control
    Hui, Meng
    Wei, Chen
    Zhang, Jiao
    Iu, Herbert Ho-Ching
    Yao, Rui
    Bai, Lin
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2023, 116
  • [7] Finite-time synchronization control of fractional-order memristive neural networks with time varying delays
    Liu, Yihong
    Sun, Yeguo
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 3231 - 3237
  • [8] Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach
    Si, Xindong
    Wang, Zhen
    Fan, Yingjie
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 215
  • [9] Finite-time synchronization of fractional-order uncertain quaternion-valued neural networks via slide mode control
    Ansari, Md Samshad Hussain
    Malik, Muslim
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2024, 101 (07) : 750 - 767
  • [10] Adaptive finite-time synchronization of fractional-order delayed fuzzy cellular neural networks
    Du, Feifei
    Lu, Jun-Guo
    FUZZY SETS AND SYSTEMS, 2023, 466