Aperiodically Intermittent Pinning Event-Triggered Synchronization of Stochastic Heterogeneous Complex Networks

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY IEEE Transactions on Network Science and Engineering Pub Date : 2024-07-18 DOI:10.1109/TNSE.2024.3428869

Dongsheng Xu;Chao Li;Xufan Wang;Huan Su

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Abstract

This paper focuses on the quasi-synchronization of stochastic heterogeneous complex networks (SHCNs), in which aperiodically intermittent pinning event-triggered control is implemented to a fraction of the network nodes. During control intervals, the control update sequence is determined through a periodic event-triggered mechanism (ETM), where the continuous monitoring can be avoided and the Zeno behavior can be eliminated. In contrast to intermittent control mentioned in existing literature, the minimum control rate condition, which imposes a constraint on the lower bound of the control rate for aperiodically intermittent pinning control, is eliminated. By means of a Halanay-like inequality, the maximum allowable bound of the sampling period is estimated for the periodic ETM. In addition, by designing an auxiliary timer and applying the Lyapunov method, sufficient conditions for quasi-synchronization of SHCNs are proposed. In the end, the theoretical result is applied to single-link robot arm systems and numerical simulations are provided to verify the feasibility and validity.

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随机异构复杂网络的非周期性间歇引脚事件触发同步化

本文重点研究了随机异构复杂网络（SHCN）的准同步问题，其中对部分网络节点实施了非周期性间歇针刺事件触发控制。在控制间隔期间，通过周期性事件触发机制（ETM）确定控制更新顺序，从而避免了持续监控，消除了芝诺行为。与现有文献中提到的间歇控制相比，该方法消除了最小控制率条件，该条件对周期性间歇引脚控制的控制率下限施加了限制。通过类似哈拉内不等式的方法，估算出了周期性 ETM 的最大允许采样周期。此外，通过设计辅助定时器和应用 Lyapunov 方法，提出了 SHCN 准同步的充分条件。最后，将理论结果应用于单链机械臂系统，并通过数值模拟验证了其可行性和有效性。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.