Intermittent adaptive dynamic event-triggered control for exponential synchronization of multi-links time-delayed stochastic complex networks with Markovian switching

被引:0
作者
Zhao, Yanfeng [1 ]
Sun, Lixia [1 ]
Chen, Lili [1 ]
Wang, Zhen [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
来源
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2025年 / 150卷
基金
中国国家自然科学基金;
关键词
Dynamic event-triggered control; Intermittent adaptive control; Multi-links; Markovian switching; JUMP;
D O I
10.1016/j.cnsns.2025.109018
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper focuses on the issue of the exponential synchronization in mean square (ESMS) of the multi-links time-delayed stochastic complex networks with Markovian switching (MTSCNM) through a novel intermittent adaptive dynamic event-triggered control (IADE-TC). First of all, the parameters within the event-triggered condition of the IADE-TC mechanism are associated with the adaptive strength, signifying that the event-triggered condition can be adjusted as the systems evolve to enhance its flexibility. Additionally, with the aim of potentially further reducing the number of the event-triggered instants, the dynamic variable is designed to increase within the rest intervals when the intermittent controller is not in operation. Then, by applying the graph theoretic approach and the Lyapunov functional method, the sufficient conditions for ESMS of MTSCNM are obtained. Furthermore, it is proved that the Zeno behavior does not arise under the IADE-TC. Finally, the ESMS of the multi-links time-delayed stochastic oscillator system is discussed and a numerical simulation is carried out to validate the effectiveness of the main results.
引用
收藏
页数:17
相关论文
共 47 条
[1]   Finite-Time and Fixed-Time Synchronization of Delayed Memristive Neural Networks via Adaptive Aperiodically Intermittent Adjustment Strategy [J].
Cheng, Liyan ;
Tang, Fangcheng ;
Shi, Xinli ;
Chen, Xiangyong ;
Qiu, Jianlong .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 34 (11) :8516-8530
[2]   Event-Triggered Distributed Fixed-Time Adaptive Attitude Control With Prescribed Performance for Multiple QUAVs [J].
Cui, Guozeng ;
Xu, Hui ;
Yu, Jinpeng ;
Lam, Hak-Keung .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (03) :4471-4481
[3]   Leader-Following Synchronization Control of Multiagent Systems Under Hybrid Cyber Attacks via Impulsive Control Based on Topology Switching [J].
Dai, Hongyun ;
Ji, Lianghao ;
Guo, Xing ;
Zhang, Cuijuan ;
Yang, Shasha ;
Li, Huaqing .
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 54 (09) :5297-5308
[4]   Fuzzy Model-Based Quantitative Control for Prefixed Time Synchronization of Stochastic Reaction-Diffusion Complex Networks Under Cyber-Attacks [J].
Ding, Kui ;
Zhu, Quanxin .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 21 (04) :6693-6707
[5]   Research paper Almost sure synchronization of stochastic multi-links semi-Markov jump systems via aperiodically intermittent control [J].
Gao, Chang ;
Gu, Hao ;
Xiao, Yu ;
Guo, Beibei .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2024, 135
[6]   Aperiodically synchronization of multi-links delayed complex networks with semi-Markov jump and their numerical simulations to single-link robot arms [J].
Gao, Chang ;
Guo, Beibei ;
Xiao, Yu ;
Bao, Junchen .
NEUROCOMPUTING, 2024, 575
[7]   Dynamic Event-Triggered Intermittent Fault Detection for Time-Varying Stochastic Systems [J].
Gao, Ming ;
Huai, Wuxiang ;
Sheng, Li ;
Zhou, Donghua .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 71 (03) :3074-3082
[8]   Synchronization of multi-link and multi-delayed inertial neural networks with Markov jump via aperiodically intermittent adaptive control [J].
Guo, Beibei ;
Xiao, Yu .
MATHEMATICS AND COMPUTERS IN SIMULATION, 2024, 219 :435-453
[9]   Aperiodically intermittent control for synchronization of stochastic coupled networks with semi-Markovian jump and time delays [J].
Guo, Beibei ;
Shi, Peng ;
Zhang, Chiping .
NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2020, 38
[10]   Observer-based output feedback event-triggered bounded consensus of multi-agent systems under DoS attacks [J].
Li, Hongjie ;
Cao, Jinde .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2024, 131