复杂动态网络指数采样同步控制
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  • 英文篇名:Sampled-data exponential synchronization for complex dynamical networks
  • 作者:陈刚 ; 王信 ; 肖伸平 ; 罗昌胜
  • 英文作者:CHEN Gang;WANG Xin;XIAO Shenping;LUO Changsheng;School of Electrical and Information Engineering, Hunan University of Technology;Key Laboratory for Electric Drive Control and Intelligent of Hunan Province;
  • 关键词:Lyapunov-Krasovskii泛函 ; 复杂动态网络 ; 指数采样同步控制
  • 英文关键词:Lyapunov-Krasovskii functional;;complex dynamic networks;;sampled-data exponential synchronization
  • 中文刊名:ZNGD
  • 英文刊名:Journal of Central South University(Science and Technology)
  • 机构:湖南工业大学电气与信息工程学院;电传动控制与智能装备湖南省重点实验室;
  • 出版日期:2018-12-26
  • 出版单位:中南大学学报(自然科学版)
  • 年:2018
  • 期:v.49;No.292
  • 基金:湖南省自然科学基金资助项目(2018JJ4075);; 国家自然科学基金资助项目(6167225,61304064)~~
  • 语种:中文;
  • 页:ZNGD201812013
  • 页数:9
  • CN:12
  • ISSN:43-1426/N
  • 分类号:99-107
摘要
利用Lyapunov-Krasovskii泛函方法以及线性矩阵不等式方法,研究具有时变时滞复杂动态网络的指数采样同步控制问题。首先,建立包含更多时滞信息以及采样间隔信息的Lyapunov-Krasovskii泛函,运用更优积分不等式方法处理泛函导数中的积分二次型项,获得一种新的保证误差系统指数同步的稳定性判据。其次,基于此判据设计保证系统同步稳定的采样控制器。仿真结果表明:所得判据具有更小保守性,且采样控制器可行。
        By using Lyapunov-Krasovskii functional method and linear matrix inequality method, the problem of sample-data exponential synchronization for complex dynamic networks with time-varying delays was studied. Firstly, the Lyapunov-Krasovskii functional with more information and the sampling interval delay information was constructed. Then, the preferable integral inequality methods were used to estimate the integral quadratic terms among derivative of Lapunov-Krasovskii functional and a new criterion was formulated to ensure the exponential synchronization of the error system. Secondly, a sampling controller was designed based on this criterion to ensure the synchronization of the system. The simulation results show that the derived synchronization criterion is less conservative and it is feasible.
引文
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