Finite-time lag synchronization of time-varying delayed complex networks via periodically intermittent control and sliding mode control

被引：50
|
作者：
Jing, Taiyan [1 ,2 ]
Chen, Fangqi [3 ]
Zhang, Xiaohua [4 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Dept Mech, Nanjing 210016, Jiangsu, Peoples R China
[2] Henan Polytech Univ, Sch Math & Informat, Jiaozuo 454000, Peoples R China
[3] Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 210016, Jiangsu, Peoples R China
[4] Jiangsu Inst Commerce, Dept Informat Technol, Nanjing 211168, Jiangsu, Peoples R China
来源：
NEUROCOMPUTING | 2016年 / 199卷
基金：
中国国家自然科学基金; 新加坡国家研究基金会;
关键词：
Complex network; Finite-time lag synchronization; Control strengths; Periodically intermittent control; Updated laws; Sliding mode control; CELLULAR NEURAL-NETWORKS; DRIVE-RESPONSE SYSTEMS; EXPONENTIAL SYNCHRONIZATION; DYNAMICAL NETWORKS; CHAOTIC SYSTEMS; ADAPTIVE SYNCHRONIZATION; GLOBAL SYNCHRONIZATION; STABILITY; STABILIZATION; DISCRETE;
D O I：
10.1016/j.neucom.2016.03.018
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, finite-time lag synchronization of time-varying delayed complex networks is investigated. By designing a periodically intermittent feedback controller and adjusting periodically intermittent control strengths with the updated laws in two parts respectively, we achieve finite-time lag synchronization between two time-varying delayed complex networks. In addition, based on the same finite time stability theory and the same sliding mode control, we ensure that the trajectory of error system converges to a chosen sliding surface within finite time and remains on it forever. Finally, two examples are given to demonstrate the effectiveness and correctness of the theoretical results obtained here. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码：178 / 184
页数：7
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