Finite-time synchronization for multi-link complex networks via discontinuous control

Finite-time synchronization for multi-link complex networks via discontinuous control
复制标题

通过不连续控制实现多链路复杂网络的有限时间同步

DOI:
10.1016/j.ijleo.2017.03.098
复制
发表时间:
2017-06
期刊:
影响因子:
3.1
通讯作者:
Li Shudong
Li Shudong
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Zhao Hui;Li Lixiang;Peng Haipeng;Xiao Jinghua;Yang Yixian;Zheng Mingwen;Li Shudong

文献摘要

参考文献

被引文献

相似文献

研究了具有两种非连续控制方法的多链路复杂网络的有限时间同步问题,即间歇控制和脉冲控制。在上述两种不连续控制方法的基础上,与以往的连续控制方法相比,导出了一些保守性较低的多链路复杂网络有限时间同步准则。考虑多链路复杂网络模型,该网络根据不同的时延被划分为若干个子网络,每个子网络可以是任意网络形式。具有不同子网络的多链路复杂网络可能呈现出一些有趣的动态现象。设计了简单的间歇反馈控制器和脉冲反馈控制器,实现驱动网络与响应网络的有限时间同步。基于有限时间稳定性理论、间歇控制技术和脉冲控制技术,导出了几种新颖实用的有限时间同步判据。最后,通过两个数值模拟验证了理论分析的有效性。
This paper is concerned with finite-time synchronization problem for multi-link complex networks with two kinds of discontinuous control approaches, e.g., the intermittent control and the impulsive control. Based on the above two discontinuous control methods, comparing with previous continuous control approaches, some less conservative criteria are derived for the finite-time synchronization of the multi-link complex networks. We consider the model of multi-link complex network, which is split into some sub-networks based on different time-delays and each sub-networks can be any network forms. Multi-link complex network with different sub-networks may present some interesting dynamical phenomena. Simple intermittent feedback controller and impulsive feedback controller are designed to achieve finite-time synchronization between the drive network and response network. Several novel and useful finite-time synchronization criteria are also derived based on finite-time stability theory, intermittent and impulsive control techniques. Finally, two numerical simulations are provided to illustrate the effectiveness of the theoretical analysis.
两个混沌神经网络之间的有限时间参数识别和自适应同步
DOI: 10.1016/j.jfranklin.2013.04.005
发表时间: 2013-08
期刊: Journal of the Franklin Institute
影响因子: --
作者:
Jun Mei;Minghui Jiang;Bin Wang;Bing Long
通讯作者: Bing Long
DOI: 10.1007/s11071-011-9987-4
发表时间: 2011-03
期刊: Nonlinear Dynamics
影响因子: 5.6
作者:
Shuiming Cai;Junjun Hao;Qinbin He;Zengrong Liu
通讯作者: Zengrong Liu
通过间歇控制实现具有混合区间时变延迟的中性型神经网络的指数稳定性:CCL 方法
DOI: 10.1007/s00034-013-9651-y
发表时间: 2013-09
期刊: Circuits, Systems, and Signal Processing
影响因子: --
作者:
Guodong Zhang;Xue Lin;Xian Zhang
通讯作者: Xian Zhang
DOI: 10.1016/j.physleta.2009.09.043
发表时间: 2009-11
期刊: Physics Letters A
影响因子: 2.6
作者:
Song Zheng;Gaogao Dong;Qinsheng Bi
通讯作者: Song Zheng;Gaogao Dong;Qinsheng Bi
DOI: 10.1142/9789812798640
发表时间: 1998-06
期刊: --
影响因子: --
作者:
Guanrong Chen;Xiaoning Dong
通讯作者: Guanrong Chen;Xiaoning Dong