A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 11 Issue 4
Apr.  2024

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 11.8, Top 4% (SCI Q1)
    CiteScore: 17.6, Top 3% (Q1)
    Google Scholar h5-index: 77, TOP 5
Turn off MathJax
Article Contents
Y. Tan and  Z. Huang,  “Synchronization of drive-response networks with delays on time scales,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 4, pp. 1063–1065, Apr. 2024. doi: 10.1109/JAS.2016.7510043
Citation: Y. Tan and  Z. Huang,  “Synchronization of drive-response networks with delays on time scales,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 4, pp. 1063–1065, Apr. 2024. doi: 10.1109/JAS.2016.7510043

Synchronization of Drive-Response Networks With Delays on Time Scales

doi: 10.1109/JAS.2016.7510043
More Information
  • loading
  • [1]
    L. Kocarev and U. Parlitz, “General approach for chaotic synchronization with applications to communication,” Physical Review Letters, vol. 74, no. 25, pp. 5028–5031, 1995. doi: 10.1103/PhysRevLett.74.5028
    W. Yu, G. Chen, J. Lu, and J. Kurths, “Synchronization via pinning control on general complex networks,” SIAM J. Control Optimization, vol. 51, no. 2, pp. 1395–1416, 2013. doi: 10.1137/100781699
    J. Cao, H. Li, and D. Ho, “Synchronization criteria of Lur’e systems with time-delay feedback control,” Chaos Solutions Fractals, vol. 23, no. 4, pp. 1285–1298, 2005. doi: 10.1016/S0960-0779(04)00380-7
    J. Lu, D. Ho, J. Cao, and J. Kurths, “Exponential synchronization of linearly coupled neural networks with impulsive disturbances,” IEEE Trans. Neural Networks, vol. 22, no. 2, pp. 329–335, 2011. doi: 10.1109/TNN.2010.2101081
    G. Chen, J. Zhou, and Z. Liu, “Global synchronization of coupled delayed neural networks and applications to chaos CNN models,” Int. J. Bifurcation Chaos, vol. 14, no. 7, pp. 2229–2240, 2004. doi: 10.1142/S0218127404010655
    Z. Wu, G. Chen, and X. Fu, “Outer synchronization of drive-response dynamical networks via adaptive impulsive pinning control,” J. the Franklin Institute, vol. 352, no. 10, pp. 4297–4308, 2015. doi: 10.1016/j.jfranklin.2015.06.016
    J. Mei, M. Jiang, and J. Wang, “Finite-time structure identification and synchronization of drive-response systems with uncertain parameter,” Communi. in Nonlinear Science Numercial Simulation, vol. 18, no. 4, pp. 999–1015, 2013. doi: 10.1016/j.cnsns.2012.08.039
    M. Park, O. Kwon, J. Park, S. Lee, and E. Cha, “Synchronization of discrete-time complex dynamical networks with interval time-varying delays via non-fragile controller with randomly occurring perturbation,” J. the Franklin Institute, vol. 351, no. 10, pp. 4850–4871, 2014. doi: 10.1016/j.jfranklin.2014.07.020
    M. Bohner, and A. Peterson, Dynamic Equations on Time Scales: An Introduction With Applications, Boston, USA: Birkha$\ddot{u}$ser, 2001.
    Z. Huang, Y. Raffoul, and C. Cheng, “Scale-limited activating sets and multiperiodicity for threshold-linear networks on time scales,” IEEE Trans. Cyber., vol. 44, no. 4, pp. 488–499, 2014. doi: 10.1109/TCYB.2013.2257747
    K. Gopalsamy and I. Leung, “Delay induced periodicity in a neural netlet of excitation and inhibition,” Physical D Nonlinear Phenomena, vol. 89, no. 34, pp. 395–426, 1996.
    C. Li and S. Yang, “Exponential synchronization in drive-response systems of hopfield-type neural networks with time delays,” Int. J. Bifurcation Chaos, vol. 27, no. 11, pp. 4167–4176, 2007.
    Z. Yuan, Z. Xu, and L. Guo, “Generalized synchronization of two bidirectionally coupled discrete dynamical systems,” Communi Science Nonlinear Numerical Simulation, vol. 17, no. 2, pp. 992–1002, 2012. doi: 10.1016/j.cnsns.2011.07.014


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索


    Article Metrics

    Article views (89) PDF downloads(20) Cited by()


    • A finite-time prescribed performance time-varying formation control algorithm is proposed for the time-varying formation control of non-strict feedback MASs
    • Considering the information-unmeasured state and partial feedback of the system, the NN state observer of MASs is designed, which not only ensures the transient and steady-state characteristics of the time-varying formation control of MASs but also solves the unknowability and unmeasurability of the system
    • Although finite-time prescribed performance control with output feedback has been studied in the literature, these studies have been focused on the single nonlinear system. In contrast, this paper extends the study from the single nonlinear system to MASs by establishing communication topologies


    DownLoad:  Full-Size Img  PowerPoint