Pinning Impulsive Synchronization of Complex Networks with Multiple Sizes of Delays via Adaptive Impulsive Intervals

被引：3
作者：
Ding, Dong [1 ]
Tang, Ze [1 ,2 ]
Wang, Yan [1 ]
Ji, Zhicheng [1 ]
机构：
[1] Jiangnan Univ, Minist Educ, Engn Res Ctr Internet Things Technol Applicat, Wuxi, Jiangsu, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, Kyonsan, South Korea
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2021年 / 40卷 / 09期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Various delay sizes; Pinning impulsive control; Adaptive impulsive intervals; Exponential synchronization; EXPONENTIAL CLUSTER SYNCHRONIZATION; VALUED NEURAL-NETWORKS; MARKOVIAN JUMP SYSTEMS; DYNAMICAL NETWORKS; MULTIAGENT SYSTEMS; FAULT-DETECTION;
D O I：
10.1007/s00034-021-01682-0
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The leader-following issue for a class of nonlinearly coupled complex networks with multiple time-varying delays was investigated in this study. A distributed controller was introduced for realizing the exponential synchronization of the complex network with different delay scales that are known in advance. The Lyapunov stability theorem and mathematical induction method were used to obtain delay-dependent criteria for global impulsive synchronization. Additionally, an adaptive strategy was adopted to establish appropriate impulsive intervals suitable for various delays. The fact that the proposed adaptive scheme is more general and less conservative enables the effective release of the constriction caused by unknown delay scales. Furthermore, the pinning impulsive control method enables the control cost to be further reduced. Finally, several numerical simulations were performed to evaluate the effectiveness of the mathematical deductions.
引用
收藏
页码：4259 / 4278
页数：20
相关论文
共 41 条
[1]   Exploring Complex Networks in the Plankton [J].
Andrade, L. P. ;
Espindola, R. P. ;
Pereira, G. C. ;
Ebecken, N. F. F. .
IEEE LATIN AMERICA TRANSACTIONS, 2016, 14 (08) :3838-3846
[2]   Coevolution of cooperation and network structure in social dilemmas in evolutionary dynamic complex network [J].
Bandyopadhyay, Abhirup ;
Kar, Samarjit .
APPLIED MATHEMATICS AND COMPUTATION, 2018, 320 :710-730
[3]   Exponential cluster synchronization of hybrid-coupled impulsive delayed dynamical networks: average impulsive interval approach [J].
Cai, Shuiming ;
Li, Xiaojing ;
Jia, Qiang ;
Liu, Zengrong .
NONLINEAR DYNAMICS, 2016, 85 (04) :2405-2423
[4]   Distributed fuzzy consensus of uncertain topology structure multi-agent systems with non-identical partially unknown control directions [J].
Chen, Jiaxi ;
Li, Junmin ;
Zhang, Rui ;
Wei, Chengzhou .
APPLIED MATHEMATICS AND COMPUTATION, 2019, 362
[5]   Finite-Time Synchronization of Markovian Jumping Complex Networks with Non-Identical Nodes and Impulsive Effects [J].
Chen, Tao ;
Peng, Shiguo ;
Zhang, Zhenhua .
ENTROPY, 2019, 21 (08)
[6]   Pinning complex networks by a single controller [J].
Chen, Tianping ;
Liu, Xiwei ;
Lu, Wenlian .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2007, 54 (06) :1317-1326
[7]   Adaptive pinning impulsive synchronization of dynamical networks with time-varying delay [J].
Gong, Xiaoli ;
Wu, Zhaoyan .
ADVANCES IN DIFFERENCE EQUATIONS, 2015,
[8]   Global power synchronization of complex dynamical networks with proportional delay and impulsive effects [J].
Guan, Kaizhong ;
Tan, Fuhao ;
Yang, Junhao .
NEUROCOMPUTING, 2019, 366 :23-34
[9]   Synchronization of Complex Dynamical Networks with Actuator Saturation by Using Sampled-Data Control [J].
Guan, Yi ;
Wu, Yuanqing ;
Wu, Hao ;
Li, Yanzhou ;
He, Shenghuang .
CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2019, 38 (12) :5508-5527
[10]   Secure impulsive synchronization control of multi-agent systems under deception attacks [J].
He, Wangli ;
Gao, Xiaoyang ;
Zhong, Weimin ;
Qian, Feng .
INFORMATION SCIENCES, 2018, 459 :354-368
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