Quasi-synchronization of neural networks with parameter mismatches and delayed impulsive controller on time scales

被引：36
|
作者：
Hunag, Zhenkun [1 ]
Cao, Jinde [2 ]
Li, Jiamin [1 ]
Bin, Honghua [1 ]
机构：
[1] Jimei Univ, Sch Sci, Xiamen 361021, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
来源：
NONLINEAR ANALYSIS-HYBRID SYSTEMS | 2019年 / 33卷
基金：
中国国家自然科学基金;
关键词：
Quasi-synchronization; Neural networks; Time scales; Impulsive control; EXPONENTIAL STABILITY; PINNING CONTROL; VARYING DELAYS; DISCRETE; FEEDBACK; SYSTEMS; MODELS;
D O I：
10.1016/j.nahs.2019.02.005
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is concerned with quasi-synchronization issue of neural networks which take parameter mismatches and a delayed impulsive controller into account on time scales. Due to the existence of hybrid time domains, there exists novel inherent quasi-synchronization mechanism which will show relationships between mismatching parameters and delayed impulses. Based on calculus of time scales and the direct Lyapunov method, some scale-type criteria to achieve the quasi-synchronization of neural networks under impulsive control are derived. Finally, a numerical simulation is presented to illustrate the effectiveness of theoretical analysis. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码：104 / 115
页数：12
相关论文
共 50 条
  • [1] Impulsive Effects on Quasi-Synchronization of Neural Networks With Parameter Mismatches and Time-Varying Delay
    Tang, Ze
    Park, Ju H.
    Feng, Jianwen
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (04) : 908 - 919
  • [2] Quasi-synchronization of multi-layer delayed neural networks with parameter mismatches via impulsive control
    Shi, Lingna
    Li, Jiarong
    Jiang, Haijun
    Wang, Jinling
    CHAOS SOLITONS & FRACTALS, 2023, 175
  • [3] Quasi-Synchronization of Timescale-Type Delayed Neural Networks With Parameter Mismatches via Impulsive Control
    Wan, Peng
    Zeng, Zhigang
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (07): : 4254 - 4266
  • [4] Dissipativity and quasi-synchronization for neural networks with discontinuous activations and parameter mismatches
    Liu, Xiaoyang
    Chen, Tianping
    Cao, Jinde
    Lu, Wenlian
    NEURAL NETWORKS, 2011, 24 (10) : 1013 - 1021
  • [5] Stochastic Quasi-Synchronization of Delayed Neural Networks: Pinning Impulsive Scheme
    Pan, Lijun
    NEURAL PROCESSING LETTERS, 2020, 51 (01) : 947 - 962
  • [6] Stochastic Quasi-Synchronization of Delayed Neural Networks: Pinning Impulsive Scheme
    Lijun Pan
    Neural Processing Letters, 2020, 51 : 947 - 962
  • [7] Quasi-Synchronization of Delayed Memristive Neural Networks via a Hybrid Impulsive Control
    Zhou, Yufeng
    Zhang, Hao
    Zeng, Zhigang
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (03): : 1954 - 1965
  • [8] Quasi-Synchronization of Delayed Discrete-Time Inertial Neural Networks under Saturation Controller
    Priyanka, K. Sri Raja
    Nagamani, G.
    10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTING AND COMMUNICATION TECHNOLOGIES, CONECCT 2024, 2024,
  • [9] Impulsive quasi-synchronization of delayed dynamic networks with asymmetric connections
    He, Wangli
    Peng, Chen
    Qian, Feng
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 5362 - 5367
  • [10] Intermittent quasi-synchronization criteria of chaotic delayed neural networks with parameter mismatches and stochastic perturbation mismatches via Razumikhin-type approach
    Ding, Kui
    Zhu, Quanxin
    NEUROCOMPUTING, 2019, 365 : 314 - 324
12345