Dynamic parameters and topological structure identification of complex networks with stochastic perturbations

被引：0

作者：

Yang Wei ^{[1
]}

Yan Qing ^{[1
]}

Wu Xiaohui ^{[1
]}

Zhang Hua ^{[1
,2
]}

机构：

[1] Chongqing Univ Technol, Sch Sci, Chongqing 400045, Peoples R China

[2] Tongren Univ, Dept Math & Comp Sci, Tongren 554300, Guizhou, Peoples R China

来源：

PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年

基金：

美国国家科学基金会;

关键词：

parameter identification; complex network; stochastic perturbation; time delay; ADAPTIVE SYNCHRONIZATION;

D O I：

10.23919/chicc.2019.8866282

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper. both the dynamic parameters and topological structure identification of complex networks with stochastic perturbations are investigated. An effective adaptive control law is designed in virtue of Lyapunov stability theory. Matrix theory, and Ito formula. A novel method for simultaneously identifying dynamic parameters and topological structure of complex networks with stochastic perturbations is proposed. It is shown that the new error dynamical networks both with and without communication delay and coupling delay can achieve almost sure stability. Moreover, this approach is also effective for the stochastic complex networks with node delay and coupling delay simultaneously. Finally, two representative examples further illustrate the effectiveness and correctness of the theoretical results.

引用

页码：1631 / 1636

页数：6