Fixed-time synchronization of intermittently coupled complex networks with coupling delay via economical controllers

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS
Zhiming Qiao, Jian-An Wang, Ruirui Cai, Mingjie Li, Jie Zhang
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引用次数: 0

Abstract

This paper focuses on the investigation of fixed-time synchronization in intermittently coupled complex networks that exhibit coupling delay. A novel fixed-time stability lemma is introduced, which encompasses complete aperiodic intermittent characteristics and has a more straightforward formulation relative to prior research. An economical intermittent controller is designed based on the concept of the average control rate. Employing Lyapunov stability theory, adequate criteria are established to guarantee fixed-time synchronization of dynamical networks. Ultimately, numerical simulations are performed to demonstrate the effectiveness and practicality of the proposed methodologies.
具有耦合延迟的间歇耦合复杂网络的经济型控制器定时同步
本文主要研究具有耦合延迟的间歇耦合复杂网络中的固定时间同步问题。引入了一种新的固定时间稳定性引理,它包含了完整的非周期间歇特性,并且相对于先前的研究具有更直接的表述。基于平均控制速率的概念,设计了一种经济型间歇控制器。利用李雅普诺夫稳定性理论,建立了保证动态网络定时同步的充分准则。最后,进行了数值模拟,以证明所提出方法的有效性和实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Control
European Journal of Control 工程技术-自动化与控制系统
CiteScore
5.80
自引率
5.90%
发文量
131
审稿时长
1 months
期刊介绍: The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.
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