Observer-based event-triggered control for H∞ synchronization of complex networks

IF 8.1 1区计算机科学 0 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information Sciences Pub Date : 2024-10-28 DOI:10.1016/j.ins.2024.121589

引用次数: 0

Abstract

This paper explores

H_{\infty}

synchronization of complex networks under event-triggered control. First, an event-based observer is introduced to observe system states while reducing observation costs. Besides, an observer-based controller is developed to facilitate synchronization in complex networks with disturbances. Then, utilizing the looped-functional method, some criteria are derived to guarantee

H_{\infty}

exponential synchronization. Finally, the synchronization for complex networks is validated through two numerical examples.

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基于观测器的事件触发控制，实现复杂网络的 H∞ 同步

本文探讨了事件触发控制下复杂网络的 H∞ 同步问题。首先，本文引入了一种基于事件的观测器来观测系统状态，同时降低观测成本。此外，还开发了一种基于观测器的控制器，以促进有干扰的复杂网络的同步。然后，利用循环函数法，推导出一些保证 H∞ 指数同步的标准。最后，通过两个数值实例验证了复杂网络的同步性。

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

Information Sciences 工程技术-计算机：信息系统

CiteScore

14.00

自引率

17.30%

发文量

1322

审稿时长

10.4 months

期刊介绍： Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions. Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.