Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method

被引：153
|
作者：
Zhang, Zhengqiu [1 ]
Cao, Jinde [2 ,3 ]
机构：
[1] Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
[2] Southeast Univ, Jiangsu Prov Key Lab Networked Collect Intelligen, Nanjing 210096, Jiangsu, Peoples R China
[3] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2019年 / 30卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Finite-time stability; finite-time synchronization; inertial neural networks; integral inequality; PERIODIC-SOLUTIONS; STABILITY; CONTROLLERS;
D O I：
10.1109/TNNLS.2018.2868800
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we are concerned with the finite-time synchronization of a class of inertial neural networks with time delays. Without applying some finite-time stability theorems, which are widely applied to studying the finite-time synchronization for neural networks, by constructing two Lyapunov functions and using integral inequality method, two sufficient conditions on the finite-time synchronization for a class of inertial neural networks with time delays are derived. Considering that the method and research results of the finite-time synchronization are different from some existing works, this paper extends the works on the finite-time synchronization of neural networks.
引用
收藏
页码：1476 / 1485
页数：10
相关论文
共 50 条
  • [41] Finite-time anti-synchronization for delayed inertial neural networks via the fractional and polynomial controllers of time variable
    Li, Ailing
    Ye, Xinlu
    AIMS MATHEMATICS, 2021, 6 (08): : 8173 - 8190
  • [42] Finite-Time Synchronization of Coupled Markovian Discontinuous Neural Networks with Mixed Delays
    Xinsong Yang
    Jinde Cao
    Qiang Song
    Chen Xu
    Jianwen Feng
    Circuits, Systems, and Signal Processing, 2017, 36 : 1860 - 1889
  • [43] Finite-time complete periodic synchronization of memristive neural networks with mixed delays
    Hajer Brahmi
    Boudour Ammar
    Amel Ksibi
    Farouk Cherif
    Ghadah Aldehim
    Adel M. Alimi
    Scientific Reports, 13
  • [44] Finite-time complete periodic synchronization of memristive neural networks with mixed delays
    Brahmi, Hajer
    Ammar, Boudour
    Ksibi, Amel
    Cherif, Farouk
    Aldehim, Ghadah
    Alimi, Adel M.
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [45] Finite-time synchronization of Markovian neural networks with proportional delays and discontinuous activations
    Liu, Yujiao
    Wan, Xiaoxiao
    Wu, Enli
    Yang, Xinsong
    Alsaadi, Fuad E.
    Hayat, Tasawar
    NONLINEAR ANALYSIS-MODELLING AND CONTROL, 2018, 23 (04): : 515 - 532
  • [46] Finite-Time Synchronization of Coupled Hierarchical Hybrid Neural Networks With Time-Varying Delays
    Wang, Junyi
    Zhang, Huaguang
    Wang, Zhanshan
    Gao, David Wenzhong
    IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47 (10) : 2995 - 3004
  • [47] Finite-time synchronization for memristor-based neural networks with time-varying delays
    Abdurahman, Abdujelil
    Jiang, Haijun
    Teng, Zhidong
    NEURAL NETWORKS, 2015, 69 : 20 - 28
  • [48] Finite-time synchronization of memristor-based neural networks with mixed delays
    Chen, Chuan
    Li, Lixiang
    Peng, Haipeng
    Yang, Yixian
    Li, Tao
    NEUROCOMPUTING, 2017, 235 : 83 - 89
  • [49] 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
  • [50] Finite-Time Synchronization of Coupled Markovian Discontinuous Neural Networks with Mixed Delays
    Yang, Xinsong
    Cao, Jinde
    Song, Qiang
    Xu, Chen
    Feng, Jianwen
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2017, 36 (05) : 1860 - 1889
12345