H∞ event-triggered synchronization control of singular semi-Markov switched complex networks with transmitted delays

被引:5
作者
Dong, Qian [1 ]
Yu, Peng [2 ]
Tong, Tianchi [1 ]
Sun, Jinsheng [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
[2] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2023年 / 360卷 / 02期
关键词
EXPONENTIAL SYNCHRONIZATION; PINNING SYNCHRONIZATION; DYNAMICAL NETWORKS; SYSTEMS;
D O I
10.1016/j.jfranklin.2022.10.043
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with the H-infinity exponential synchronization problem of singular semi-Markov switched complex dynamical networks (CDNs) subject to transmitted delays. Firstly, an event-triggered commu-nication mechanism (ETCM) is developed to save singular semi-Markov switched CDNs bandwidth. A positive constant sampled-data interval is applied to avoid the Zeno behavior in an ETCM. Secondly, by discussing the data transmission of sensors and controllers, the novel delays singular semi-Markov switched CDNs are modeled to investigate the H-infinity exponential synchronization problem of singular semi-Markov switched CDNs with transmitted delays via the based-on ETCM output control protocol. Moreover, some new sufficient conditions are established such that H-infinity exponential synchronization of singular semi-Markov switched CDNs can be achieved. Finally, the simulation result of the presented method is shown via two cases, which demonstrates the effectiveness of the main results. (C) 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1415 / 1435
页数:21
相关论文
共 33 条
[1]   Quantized H∞ filtering for switched linear parameter-varying systems with sojourn probabilities and unreliable communication channels [J].
Cheng, Jun ;
Park, Ju H. ;
Cao, Jinde ;
Zhang, Dian .
INFORMATION SCIENCES, 2018, 466 :289-302
[2]   Synchronization of Nonlinearly and Stochastically Coupled Markovian Switching Networks via Event-Triggered Sampling [J].
Dong, Hailing ;
Zhou, Jiamu ;
Wang, Bingchang ;
Xiao, Mingqing .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29 (11) :5691-5700
[3]   Event-triggered synchronization control of complex networks with adaptive coupling strength [J].
Dong, Qian ;
Yu, Peng ;
Ma, Yuechao .
JOURNAL OF THE FRANKLIN INSTITUTE, 2022, 359 (02) :1215-1234
[4]   Adaptive event-triggered prescribed performance learning synchronization for complex dynamical networks with unknown time-varying coupling strength [J].
Fan, Aili ;
Li, Junmin ;
Li, Jinsha .
NONLINEAR DYNAMICS, 2020, 100 (03) :2575-2593
[5]   Exponential synchronization of nonlinearly coupled complex networks with hybrid time-varying delays via impulsive control [J].
Feng, Jianwen ;
Yu, Fenfen ;
Zhao, Yi .
NONLINEAR DYNAMICS, 2016, 85 (01) :621-632
[6]   A Threshold-Parameter-Dependent Approach to Designing Distributed Event-Triggered H∞ Consensus Filters Over Sensor Networks [J].
Ge, Xiaohua ;
Han, Qing-Long ;
Wang, Zidong .
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (04) :1148-1159
[7]   Distributed Formation Control of Networked Multi-Agent Systems Using a Dynamic Event-Triggered Communication Mechanism [J].
Ge, Xiaohua ;
Han, Qing-Long .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (10) :8118-8127
[8]   Non-fragile exponential synchronization of delayed complex dynamical networks with transmission delay via sampled-data control [J].
Gyurkovics, Eva ;
Kiss, Krisztina ;
Kazemy, Ali .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2018, 355 (17) :8934-8956
[9]   Optimal guaranteed cost intermittent control to the efficient movement of freight trains [J].
Hu, Junhao ;
Ruan, Zeyu ;
Mei, Jun ;
Wang, Bo ;
Ramatsetse, Boitumelo .
ISA TRANSACTIONS, 2022, 130 :235-252
[10]   Finite-time H∞ sampled-data synchronization for Markovian jump complex networks with time-varying delays [J].
Huang, Xiaojie ;
Ma, Yuechao .
NEUROCOMPUTING, 2018, 296 :82-99