Synchronization on complex dynamical networks via intermittently sampled-data pinning control

被引:1
|
作者
Zhang, Yinxing [1 ]
Sun, Mengmeng [1 ]
Li, Kezan [2 ]
机构
[1] Kunming Univ Sci & Technol, Fac Informat Engn & Automat, Kunming 650500, Peoples R China
[2] Guilin Univ Elect Technol, Guangxi Coll & Univ Key Lab Data Anal & Computat, Sch Math & Comp Sci, Guilin 541004, Peoples R China
基金
中国国家自然科学基金;
关键词
Complex dynamical network; Synchronization; Pinning control; Intermittent control; CLUSTER SYNCHRONIZATION; NEURAL-NETWORKS;
D O I
10.1016/j.physa.2024.130109
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Each specific control strategy has a unique advantage, and combining multiple control strategies can harness the advantages of these strategies. Designing new control strategies by integrating different control strategies is an interesting and challenging topic. This paper introduces an intermittently sampled-data pinning (ISP) control strategy, which merges intermittent control, sampled-data control and pinning control, to study synchronization on complex dynamical networks. The ISP control strategy is proposed to solve three difficulties: first, the controllers transmitting feedback signals may be discontinuous; second, the controllers often cannot operate continuously in practical applications; third, it is usually hard to control all nodes in a dynamical network as the network size is huge. Sufficient conditions are obtained for realizing synchronization on dynamical networks. Furthermore, time delays are incorporated into the proposed control strategy to address the untimely reception of feedback signals and achieve the synchronization conditions on dynamical networks. Finally, two numerical examples demonstrate the effectiveness of the proposed control method.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Design of sampled-data controllers for the synchronization of complex dynamical networks under controller attacks
    Lee, Tae H.
    Park, Ju H.
    ADVANCES IN DIFFERENCE EQUATIONS, 2019, 2019 (1)
  • [42] Novel results on nonfragile sampled-data exponential synchronization for delayed complex dynamical networks
    Zhao, Can
    Zhong, Shouming
    Zhang, Xiaojun
    Zhong, Qishui
    Shi, Kaibo
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2020, 30 (10) : 4022 - 4042
  • [43] Design of sampled-data controllers for the synchronization of complex dynamical networks under controller attacks
    Tae H. Lee
    Ju H. Park
    Advances in Difference Equations, 2019
  • [44] Group Synchronization of Nonlinear Complex Dynamical Networks with Time-Delay and Sampled-Data
    Liu, Bo
    JiahuiBai
    NingshengXu
    HongShi
    2019 3RD IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (IEEE CCTA 2019), 2019, : 525 - 530
  • [45] Dissipative-based sampled-data synchronization control for complex dynamical networks with time-varying delay
    Su, Lei
    Ye, Dan
    Yang, Xiang
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2017, 354 (15): : 6855 - 6876
  • [46] Fault-tolerant passive synchronization for complex dynamical networks with Markovian jump based on sampled-data control
    Li, Jia
    Ma, Yuechao
    Fu, Lei
    NEUROCOMPUTING, 2019, 350 : 20 - 32
  • [47] New result on synchronization of complex dynamical networks with time-varying coupling delay and sampled-data control
    Wang, Xin
    She, Kun
    Zhong, Shouming
    Yang, Huilan
    NEUROCOMPUTING, 2016, 214 : 508 - 515
  • [48] Improved Nonfragile Sampled-Data Event-Triggered Control for the Exponential Synchronization of Delayed Complex Dynamical Networks
    Zhao, Can
    Cao, Jinde
    Shi, Kaibo
    Tang, Yiqian
    Zhong, Shouming
    Alsaadi, Fawaz E.
    MATHEMATICS, 2022, 10 (19)
  • [49] Synchronization in Heterogeneous Networks Coupled of LC Oscillators Via Sampled-Data Control
    Wang, Zhengxin
    Yang, Huihui
    Qian, Longxia
    Xiao, Min
    Jiang, Guo-Ping
    Lin, Jinxing
    2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2019,
  • [50] Synchronization for switched neural networks via variable sampled-data control method
    Guan, Chaoxu
    Sun, Dong
    Fei, Zhongyang
    Ren, Chao
    NEUROCOMPUTING, 2018, 311 : 325 - 332