Quasi-synchronization and stabilization of discrete-time fractional-order memristive neural networks with time delays

被引:4
|
作者
Zhang, Xiao-Li [1 ]
Li, Hong-Li [1 ,2 ]
Yu, Yongguang [3 ]
Wang, Zuolei [4 ]
机构
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830017, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
[3] Beijing Jiaotong Univ, Sch Math & Stat, Beijing 100044, Peoples R China
[4] Yancheng Teachers Univ, Sch Math & Stat, Yancheng 224002, Peoples R China
基金
中国国家自然科学基金;
关键词
Discrete-time; Memristor; Fractional-order neural networks; Quasi-synchronization; Stabilization; STABILITY;
D O I
10.1016/j.ins.2023.119461
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, the quasi-synchronization (Q-S) and stabilization of a sort of discrete-time fractional-order memristive neural networks (DFMNNs) with time delays are considered. First of all, the definitions of PLANCK CONSTANT OVER TWO PI-discrete fractional operator are given, some basic properties of difference operators are gained, and then according to the above definitions and properties, several flesh inequalities of discrete-time fractional-order difference are established, which greatly expands the existing results. In addition, by use of Lypunov direct method and some related lemmas obtained above, the adequate Q-S criteria are obtained for DFMNNs with time delays under the delay feedback controller. At the same time, we also yield the relevant conditions of stabilization. Finally, the validity and availability of the above theoretical results are verified by numerical simulations.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Quasi-synchronization of discrete-time tempered fractional-order memristive neural networks with time delays
    Zhang, Xiao-Li
    Yu, Yongguang
    Wang, Hu
    Nie, Di
    [J]. Neurocomputing, 2025, 619
  • [2] Quasi-synchronization of discrete-time fractional-order quaternion-valued memristive neural networks with time delays and uncertain parameters
    Zhao, Mingfang
    Li, Hong-Li
    Zhang, Long
    Hu, Cheng
    Jiang, Haijun
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2023, 453
  • [3] Synchronization for fractional-order discrete-time neural networks with time delays
    Gu, Yajuan
    Wang, Hu
    Yu, Yongguang
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2020, 372
  • [4] Quasi-stability and quasi-synchronization control of quaternion-valued fractional-order discrete-time memristive neural networks
    Li, Ruoxia
    Cao, Jinde
    Xue, Changfeng
    Manivannan, R.
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2021, 395 (395)
  • [5] Synchronization of fractional-order memristive neural networks with time delays
    Chen, Chong
    Ding, Zhixia
    Li, Sai
    Wang, Liheng
    [J]. 2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 2754 - 2759
  • [6] Complete synchronization for discrete-time fractional-order coupled neural networks with time delays
    Cui, Xueke
    Li, Hong-Li
    Zhang, Long
    Hu, Cheng
    Bao, Haibo
    [J]. CHAOS SOLITONS & FRACTALS, 2023, 174
  • [7] Optimal quasi-synchronization of fractional-order memristive neural networks with PSOA
    Lingzhong Zhang
    Yongqing Yang
    [J]. Neural Computing and Applications, 2020, 32 : 9667 - 9682
  • [8] Optimal quasi-synchronization of fractional-order memristive neural networks with PSOA
    Zhang, Lingzhong
    Yang, Yongqing
    [J]. NEURAL COMPUTING & APPLICATIONS, 2020, 32 (13): : 9667 - 9682
  • [9] Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays
    Liu, Jianfei
    Li, Hong-Li
    Hu, Cheng
    Jiang, Haijun
    Cao, Jinde
    [J]. NEURAL NETWORKS, 2024, 180
  • [10] Global Mittag-Leffler synchronization of discrete-time fractional-order neural networks with time delays
    Zhang, Xiao-Li
    Li, Hong-Li
    Kao, Yonggui
    Zhang, Long
    Jiang, Haijun
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2022, 433