Generalized Synchronization and System Parameters Identification BetweenTwo Different Complex Networks

被引：0
|
作者：
Wei X. [1 ,2 ]
Zhao J.-C. [3 ,4 ]
Hu C.-H. [4 ]
机构：
[1] Department of Engineering, Honghe University, Honghe
[2] School of Mathematics and Statistics, Wuhan University, Wuhan
[3] School of Mathematics and Statistics, Hunan University of Commerce, Changsha
[4] Key Laboratory of Hunan Province for Mobile Business Intelligence, Hunan University of Commerce, Changsha
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2017年 / 43卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Adaptive controller; Complex networks; Generalized synchronization(GS); Parameters identification;
D O I：
10.16383/j.aas.2017.c160449
中图分类号：
学科分类号：
摘要：
This paper proposes a method to identify system unknown parameters of complex network. Aimed at system unknown parameters, a method using generalized synchronization (GS) is proposed. This method bases on Barbalat lemma and Lyapunov stability scheme and contructs an auxiliary complex network with different topologies and dynamics. Some adaptive controllers are also designed to identify system parameters upon GS with delay coupling. Compared to the method based on complete outer synchronization, the proposed method can construct simple and low dimensional dynamics to identify the parameters of high dimensional dynamics. Numerical simulations are provided to show the effectiveness of the proposed method. Copyright © 2017 Acta Automatica Sinica. All rights reserved.
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页码：595 / 603
页数：8
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