On the relation between approaches for boundary feedback control of hyperbolic systems

IF 2.6 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS European Journal of Control Pub Date : 2025-01-21 DOI:10.1016/j.ejcon.2025.101182
Michael Herty , Ferdinand Thein
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引用次数: 0

Abstract

Stabilization of partial differential equations is a topic of utmost importance in mathematics as well as in engineering sciences. Concerning one dimensional problems there exists a well developed theory. Due to numerous important applications the interest in boundary feedback control of multi-dimensional hyperbolic systems is increasing. In the present work we want to discuss the relation between some of the most recent results available in the literature. The key result of the present work is to show that the type of system discussed in Yang and Yong (2024) identifies a particular class which falls into the framework presented in Herty and Thein (2024).
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论双曲系统边界反馈控制方法之间的关系
偏微分方程的稳定是数学和工程科学中一个非常重要的课题。关于一维问题,有一个很发达的理论。由于许多重要的应用,人们对多维双曲系统的边界反馈控制越来越感兴趣。在目前的工作中,我们想讨论一些最新的研究结果之间的关系。本工作的关键结果是表明Yang和Yong(2024)中讨论的系统类型确定了属于Herty和Thein(2024)中提出的框架的特定类。
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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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