Finite-Time Bipartite Tracking Consensus of Fractional-Order Multi-Layer Signed Networks by Aperiodically Intermittent Control

被引:2
|
作者
Zhang, Wei [1 ]
Zhu, Haihong [1 ]
Wen, Shiping [2 ]
Huang, Tingwen [3 ]
机构
[1] Southwest Univ, Dept Elect & Informat Engn, Chongqing 400715, Peoples R China
[2] Univ Technol Sydney, Australian Artificial Intelligence Inst, Sydney, NSW 2007, Australia
[3] Texas A&M Univ Qatar, Sci Program, Doha, Qatar
关键词
Synchronization; Protocols; Lyapunov methods; Complexity theory; Behavioral sciences; Topology; Sufficient conditions; Finite-time bipartite tracking consensus; fractional-order systems; multi-layer signed networks; intermittent control; SYNCHRONIZATION;
D O I
10.1109/TCSII.2024.3354808
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this brief, we solve the finite-time bipartite tracking consensus problem in fractional-order multi-layer signed networks by intermittent control. It is worth emphasizing that, unlike most related papers that consider integer-order systems, we consider fractional-order systems, and extend the traditional single-layer networks to finite layers, which is more general. To solve this problem, we design an intermittent control protocol, and use Node-Lyapunov method and limit theory to prove that when the control time is longer than a threshold time, followers can achieve tracking consensus with the leader within a given time. At the end of this brief, we provide two numerical simulations to demonstrate the effectiveness of theorems.
引用
收藏
页码:3061 / 3065
页数:5
相关论文
共 50 条
  • [41] Finite-time synchronization of delayed complex dynamic networks via aperiodically intermittent control
    Jing, Taiyan
    Zhang, Daoyuan
    Mei, Jun
    Fan, Yuling
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (10): : 5464 - 5484
  • [42] Finite-time synchronization of fractional-order gene regulatory networks with time delay
    Qiao, Yuanhua
    Yan, Hongyun
    Duan, Lijuan
    Miao, Jun
    NEURAL NETWORKS, 2020, 126 : 1 - 10
  • [43] On Finite-Time Stability for Fractional-Order Neural Networks with Proportional Delays
    Xu, Changjin
    Li, Peiluan
    NEURAL PROCESSING LETTERS, 2019, 50 (02) : 1241 - 1256
  • [44] On Finite-Time Stability for Fractional-Order Neural Networks with Proportional Delays
    Changjin Xu
    Peiluan Li
    Neural Processing Letters, 2019, 50 : 1241 - 1256
  • [45] Finite-time synchronisation of delayed fractional-order coupled neural networks
    Zhang, Shuailei
    Liu, Xinge
    Li, Xuemei
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2022, 53 (12) : 2597 - 2611
  • [46] Finite-time stability analysis of fractional-order neural networks with delay
    Yang, Xujun
    Song, Qiankun
    Liu, Yurong
    Zhao, Zhenjiang
    NEUROCOMPUTING, 2015, 152 : 19 - 26
  • [47] Finite-time synchronization of delayed fractional-order heterogeneous complex networks
    Li, Ying
    Kao, Yonggui
    Wang, Changhong
    Xia, Hongwei
    NEUROCOMPUTING, 2020, 384 : 368 - 375
  • [48] On the Lp synchronization and finite-time synchronization of fractional-order complex networks
    Zhang, Shuailei
    Liu, Xinge
    Ullah, Saeed
    Xu, Hongfu
    INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 2025,
  • [49] Finite-Time Synchronization of Discontinuous Fractional-Order Complex Networks With Delays
    Xie, Tao
    Xiong, Xing
    Zhang, Qike
    IEEE ACCESS, 2024, 12 : 128482 - 128493
  • [50] Finite-Time Controllability of Fractional-order Systems
    Adams, Jay L.
    Hartley, Tom T.
    JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2008, 3 (02):