Projective Synchronization of Complex Dynamical Networks with Time-Varying Coupling Strength via Hybrid Feedback Control

被引：16
|
作者：
Guo Xiao-Yong [1 ,2 ]
Li Jun-Min [1 ]
机构：
[1] Xidian Univ, Dept Appl Math, Xian 710071, Peoples R China
[2] Lincang Normal Coll, Dept Math & Sci, Lincang 677000, Peoples R China
来源：
CHINESE PHYSICS LETTERS | 2011年 / 28卷 / 12期
基金：
中国国家自然科学基金;
关键词：
REPETITIVE LEARNING CONTROL; ADAPTIVE SYNCHRONIZATION; SYSTEMS; STABILITY; CRITERIA; DELAY; MODEL;
D O I：
10.1088/0256-307X/28/12/120503
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We introduce a hybrid feedback control scheme to design a controller for the projective synchronization of complex dynamical networks with unknown periodically time-varying parameters. A differential-difference mixed parametric learning law and an adaptive learning control law are constructed to ensure the asymptotic convergence of the error in the sense of square error norm. Moreover, numerical simulation results are used to verify the effectiveness of the proposed method.
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页数：4
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