通过间歇采样数据钉控在复杂动态网络上实现同步

IF 2.8 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Physica A: Statistical Mechanics and its Applications Pub Date : 2024-09-24 DOI:10.1016/j.physa.2024.130109
Yinxing Zhang , Mengmeng Sun , Kezan Li
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引用次数: 0

摘要

每种特定的控制策略都有其独特的优势,而将多种控制策略结合在一起则可以利用这些策略的优势。通过整合不同的控制策略来设计新的控制策略是一个既有趣又具有挑战性的课题。本文介绍了一种间歇采样数据引脚(ISP)控制策略,它融合了间歇控制、采样数据控制和引脚控制,用于研究复杂动态网络的同步问题。ISP 控制策略的提出解决了三个难题:第一,传输反馈信号的控制器可能是不连续的;第二,控制器在实际应用中往往不能连续工作;第三,由于网络规模巨大,通常很难控制动态网络中的所有节点。本文提出了实现动态网络同步的充分条件。此外,在所提出的控制策略中加入了时间延迟,以解决反馈信号接收不及时的问题,实现动态网络的同步条件。最后,两个数值实例证明了所提控制方法的有效性。
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Synchronization on complex dynamical networks via intermittently sampled-data pinning control
Each specific control strategy has a unique advantage, and combining multiple control strategies can harness the advantages of these strategies. Designing new control strategies by integrating different control strategies is an interesting and challenging topic. This paper introduces an intermittently sampled-data pinning (ISP) control strategy, which merges intermittent control, sampled-data control and pinning control, to study synchronization on complex dynamical networks. The ISP control strategy is proposed to solve three difficulties: first, the controllers transmitting feedback signals may be discontinuous; second, the controllers often cannot operate continuously in practical applications; third, it is usually hard to control all nodes in a dynamical network as the network size is huge. Sufficient conditions are obtained for realizing synchronization on dynamical networks. Furthermore, time delays are incorporated into the proposed control strategy to address the untimely reception of feedback signals and achieve the synchronization conditions on dynamical networks. Finally, two numerical examples demonstrate the effectiveness of the proposed control method.
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来源期刊
CiteScore
7.20
自引率
9.10%
发文量
852
审稿时长
6.6 months
期刊介绍: Physica A: Statistical Mechanics and its Applications Recognized by the European Physical Society Physica A publishes research in the field of statistical mechanics and its applications. Statistical mechanics sets out to explain the behaviour of macroscopic systems by studying the statistical properties of their microscopic constituents. Applications of the techniques of statistical mechanics are widespread, and include: applications to physical systems such as solids, liquids and gases; applications to chemical and biological systems (colloids, interfaces, complex fluids, polymers and biopolymers, cell physics); and other interdisciplinary applications to for instance biological, economical and sociological systems.
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