Synchronization Analysis for Complex Networks with Interval Coupling Delay

被引：1
作者：
Gong, Dawei [1 ]
Dai, Xiaolin [1 ]
Song, Jinliang [2 ]
Huang, Bonan [3 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu, Sichuan, Peoples R China
[2] Natl Network Liaoning Elect Power Res Inst, Shenyang, Liaoning, Peoples R China
[3] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS, PT I | 2017年 / 10261卷
基金：
中国国家自然科学基金;
关键词：
Synchronization; Complex networks; Hybrid coupling; Finsler's lemma; NEURAL-NETWORKS; DYNAMICAL NETWORKS; PINNING CONTROL; LINEAR-SYSTEMS; CRITERIA;
D O I：
10.1007/978-3-319-59072-1_39
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper concerns synchronization problems for complex networks with interval delays. By using an inequality that is introduced from Newton-Leibniz formula and combining the Finsler's Lemma with homogenous matrix, convergent LMI relaxations for synchronization analysis are proposed with matrix-valued coefficients. Finally, a numerical example is provided to illustrate the effectiveness of the proposed methods.
引用
收藏
页码：329 / 336
页数：8
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