Pinning synchronization and parameter identification of fractional-order complex-valued dynamical networks with multiple weights

被引:1
|
作者
Ding, Dawei [1 ,2 ]
Wang, Ya [1 ]
Hu, Yongbing [1 ]
Yang, Zongli [1 ]
Zhang, Hongwei [1 ]
Zhang, Xu [3 ]
机构
[1] Anhui Univ, Sch Elect & Informat Engn, Hefei 230601, Peoples R China
[2] Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applic, Hefei 230601, Peoples R China
[3] China Acad Informat & Commun Technol CAICT, Beijing, Peoples R China
来源
EUROPEAN PHYSICAL JOURNAL B | 2022年 / 95卷 / 08期
关键词
FINITE-TIME SYNCHRONIZATION; NEURAL-NETWORKS; MIXED DELAYS; SYSTEMS;
D O I
10.1140/epjb/s10051-022-00382-1
中图分类号
O469 [凝聚态物理学];
学科分类号
070205 ;
摘要
Compared with single weight networks, multiple weights networks are more practical and universal. Considering the unknown structure and time-varying factor in the actual system, the pinning synchronization of fractional-order complex-valued networks (FCVNs) with unknown parameters and time-varying coupling strength is studied. In addition, according to the identification and adaptive law, the unknown parameters can be identified, and the value of time-varying coupling strength is obtained. Based on fractional-order calculus theory and Lyapunov stability theory, sufficient conditions for pinning synchronization of FCVNs with time-varying coupling strength are derived. Finally, the effectiveness of the pinning controller strategy for fractional-order complex networks is illustrated by two numerical examples in complex-value space.
引用
收藏
页数:12
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