Finite-Time and Fixed-Time Synchronization of Inertial Neural Networks with Mixed Delays

被引:0
|
作者
CHAOUKI Aouiti [1 ]
EL ABED Assali [1 ]
机构
[1] University of Carthage, Faculty of Sciences of Bizerta, Department of Mathematics, Research Units of Mathematics and Applications UR13ES47
关键词
D O I
暂无
中图分类号
TP183 [人工神经网络与计算]; O178 [不等式及其他];
学科分类号
摘要
This paper considers the drive-response synchronization in finite-time and fixed-time of inertial neural networks with time-varying and distributed delays(mixed delays). First, by constructing a proper variable substitution, the original inertial neural networks can be rewritten as a first-order differential system. Second, by constructing Lyapunov functions and using differential inequalities,some new and effective criteria are obtained for ensuring the finite-time synchronization. Finally, three numerical examples are also given at the end of this paper to show the effectiveness of the results.
引用
收藏
页码:206 / 235
页数:30
相关论文
共 50 条
  • [41] Finite-Time Synchronization of Coupled Inertial Memristive Neural Networks with Mixed Delays via Nonlinear Feedback Control
    Yang, Cuiping
    Xiong, Zuoliang
    Yang, Tianqing
    NEURAL PROCESSING LETTERS, 2020, 51 (02) : 1921 - 1938
  • [42] Finite-time synchronization of coupled Cohen-Grossberg neural networks with mixed time delays
    Peng, Dongxue
    Li, Jianxiang
    Xu, Wei
    Li, Xiaodi
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (16): : 11349 - 11367
  • [43] Finite-time synchronization for Cohen-Grossberg neural networks with mixed time-delays
    Peng, Dongxue
    Li, Xiaodi
    Aouiti, Chaouki
    Miaadi, Foued
    NEUROCOMPUTING, 2018, 294 : 39 - 47
  • [44] Robust fixed-time synchronization of discontinuous Cohen-Grossberg neural networks with mixed time delays
    Kong, Fanchao
    Zhu, Quanxin
    Liang, Feng
    Nieto, Juan J.
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2019, 24 (04): : 603 - 625
  • [45] Distributed adaptive finite-time and fixed-time cluster synchronization of complex networks
    Zhang, Shikun
    Liu, Dan
    Cui, Xiaohong
    Zhou, Kun
    Wang, Binrui
    JOURNAL OF THE FRANKLIN INSTITUTE, 2025, 362 (03)
  • [46] Finite-time and fixed-time bipartite synchronization of complex networks with signed graphs
    Zhang, Wanli
    Yang, Xinsong
    Yang, Shiju
    Alsaedi, Ahmed
    MATHEMATICS AND COMPUTERS IN SIMULATION, 2021, 188 : 319 - 329
  • [47] Synchronization of Fuzzy Inertial Neural Networks with Time-Varying Delays via Fixed-Time and Preassigned-Time Control
    Songjie Li
    Haoyu Li
    Xinmei Wang
    Leimin Wang
    Junhao Hu
    Neural Processing Letters, 2023, 55 : 9503 - 9520
  • [48] Synchronization of Fuzzy Inertial Neural Networks with Time-Varying Delays via Fixed-Time and Preassigned-Time Control
    Li, Songjie
    Li, Haoyu
    Wang, Xinmei
    Wang, Leimin
    Hu, Junhao
    NEURAL PROCESSING LETTERS, 2023, 55 (07) : 9503 - 9520
  • [49] Finite-time lag synchronization of inertial neural networks with mixed infinite time-varying delays and state-dependent switching
    Long, Changqing
    Zhang, Guodong
    Zeng, Zhigang
    Hu, Junhao
    Neurocomputing, 2021, 433 : 50 - 58
  • [50] Finite/Fixed-Time Synchronization of Delayed Inertial Memristive Neural Networks with Discontinuous Activations and Disturbances
    He, Haibin
    Liu, Xiaoyang
    Cao, Jinde
    Jiang, Nan
    NEURAL PROCESSING LETTERS, 2021, 53 (05) : 3525 - 3544