Finite-Time Synchronization for Delayed Complex Dynamical Networks With Synchronizing or Desynchronizing Impulses

被引:49
|
作者
Yang, Dan [1 ]
Li, Xiaodi [1 ,2 ]
Song, Shiji [3 ]
机构
[1] Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China
[2] Shandong Normal Univ, Ctr Control & Engn Computat, Jinan 250014, Peoples R China
[3] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
Synchronization; Delay effects; Delays; Convergence; Asymptotic stability; Stability criteria; Complex dynamical networks (CDNs); desynchronizing impulses; finite-time synchronization; synchronizing impulses; time delay; NEURAL-NETWORKS; SAMPLED-DATA; STABILIZATION; STABILITY;
D O I
10.1109/TNNLS.2020.3028835
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 article, the finite-time synchronization problem of delayed complex dynamical networks (CDNs) with impulses is studied, where two types of impulses, namely, synchronizing impulses and desynchronizing impulses, are fully considered, respectively. Since the existence of impulses makes the discontinuity of the states, which means that the classical result for finite-time stability is inapplicable in such a case, the key challenge is how to guarantee the finite-time stability and estimate the settling time in impulse sense. We apply impulsive control theory and finite-time stability theory to CDNs and establish some sufficient conditions for finite-time synchronization, where two kinds of memory controllers are designed for synchronizing impulses and desynchronizing impulses, respectively. Moreover, the upper bounds for settling time of synchronization, which depends on the impulse sequences, are effectively estimated. It shows that the synchronizing impulses can shorten the settling time of synchronization; conversely, the desynchronizing impulses can delay it. Finally, the theoretical analysis is verified by two simulation examples.
引用
收藏
页码:736 / 746
页数:11
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