Global synchronization between two fractional-order complex networks with non-delayed and delayed coupling via hybrid impulsive control

被引：48
|
作者：
Li, Hong-Li [1 ,2 ]
Cao, Jinde [2 ]
Hu, Cheng [1 ]
Zhang, Long [1 ]
Wang, Zuolei [3 ]
机构：
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Jiangsu, Peoples R China
[3] Yancheng Teachers Univ, Sch Math & Stat, Yancheng 224002, Peoples R China
来源：
NEUROCOMPUTING | 2019年 / 356卷
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Global synchronization; Fractional-order; Complex network; Delay coupling; Graph theory; FINITE-TIME SYNCHRONIZATION; MITTAG-LEFFLER STABILITY; EXPONENTIAL SYNCHRONIZATION; ADAPTIVE SYNCHRONIZATION; SYSTEMS; FEEDBACK;
D O I：
10.1016/j.neucom.2019.04.059
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper focuses on the global synchronization problem for two fractional-order complex networks with non-delayed and delayed coupling (FCNNDC) by using hybrid impulsive control strategy. First, a fractional-order comparison principle is established firstly. Based on our proposed comparison principle and combining algebraic graph theory and laplace transform as well as mathematical induction, some novel synchronization criteria revealing the interplay among the impulsive gain, impulsive interval, networks' topology structure and fractional order, are derived to guarantee the global synchronization of FCNNDC. Finally, some numerical results are presented to illustrate the effectiveness of the theoretical results. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码：31 / 39
页数：9
相关论文
共 50 条
  • [41] Global Mittag-Leffler Synchronization of Fractional-Order Neural Networks Via Impulsive Control
    Yang, Xujun
    Li, Chuandong
    Huang, Tingwen
    Song, Qiankun
    Huang, Junjian
    NEURAL PROCESSING LETTERS, 2018, 48 (01) : 459 - 479
  • [42] Hybrid synchronization of coupled fractional-order complex networks
    Ma, Tiedong
    Zhang, Jun
    NEUROCOMPUTING, 2015, 157 : 166 - 172
  • [43] Event-based delayed impulsive control for fractional-order dynamic systems with application to synchronization of fractional-order neural networks
    Zheng, Bibo
    Wang, Zhanshan
    NEURAL COMPUTING & APPLICATIONS, 2023, 35 (27) : 20241 - 20251
  • [44] Event-based delayed impulsive control for fractional-order dynamic systems with application to synchronization of fractional-order neural networks
    Bibo Zheng
    Zhanshan Wang
    Neural Computing and Applications, 2023, 35 : 20241 - 20251
  • [45] Synchronization of stochastic complex networks with discrete-time and distributed coupling delayed via hybrid nonlinear and impulsive control
    Luo, Mengzhuo
    Liu, Xinzhi
    Zhong, Shouming
    Cheng, Jun
    CHAOS SOLITONS & FRACTALS, 2018, 114 : 381 - 393
  • [46] Exponential synchronization of the coupling delayed switching complex dynamical networks via impulsive control
    Anding Dai
    Wuneng Zhou
    Jianwen Feng
    Jian’an Fang
    Shengbing Xu
    Advances in Difference Equations, 2013
  • [47] Comments on "Synchronization for a Class of Fractional-order Linear Complex Networks via Impulsive Control"
    Hu, Jianbing
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2022, 20 (07) : 2434 - 2436
  • [48] Comments on “Synchronization for a Class of Fractional-order Linear Complex Networks via Impulsive Control”
    Jianbing Hu
    International Journal of Control, Automation and Systems, 2022, 20 : 2434 - 2436
  • [49] 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
  • [50] Hybrid control-based synchronization of fractional-order delayed complex-valued fuzzy neural networks
    Jie Li
    Hong-Li Li
    Juanping Yang
    Jikai Yang
    Long Zhang
    Computational and Applied Mathematics, 2023, 42
12345