On the controllability of a system coupling Kuramoto–Sivashinsky–Korteweg–de Vries and transport equations

IF 1.8 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS Mathematics of Control Signals and Systems Pub Date : 2024-06-23 DOI:10.1007/s00498-024-00390-9
Manish Kumar, Subrata Majumdar
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Abstract

In this paper, we study the null controllability of a coupled parabolic–hyperbolic system in one dimension with a single control using the moment method. More precisely, we consider a system coupling Kuramoto–Sivashinsky–Korteweg–de Vries equation and transport equation through first-order derivatives. We explore the null controllability of four different control systems with the control acting either on the periodic boundary or in some open subset of the interior of the domain with periodic boundary conditions. Depending on the position of the control, we get some regular periodic Sobolev space as the space of initial data for which the null controllability holds, provided the time is sufficiently large.

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论库拉莫斯-西瓦辛斯基-科特韦格-德弗里斯与输运方程耦合系统的可控性
在本文中,我们利用矩法研究了一维单控制耦合抛物-双曲系统的无效可控性。更确切地说,我们考虑了一个通过一阶导数耦合 Kuramoto-Sivashinsky-Korteweg-de Vries 方程和传输方程的系统。我们探讨了四种不同控制系统的空可控性,控制作用于周期性边界或具有周期性边界条件的域内部的某个开放子集。根据控制的位置,我们得到了一些规则的周期性 Sobolev 空间作为初始数据空间,只要时间足够大,空可控性就会成立。
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来源期刊
Mathematics of Control Signals and Systems
Mathematics of Control Signals and Systems 工程技术-工程:电子与电气
CiteScore
2.90
自引率
0.00%
发文量
18
审稿时长
>12 weeks
期刊介绍: Mathematics of Control, Signals, and Systems (MCSS) is an international journal devoted to mathematical control and system theory, including system theoretic aspects of signal processing. Its unique feature is its focus on mathematical system theory; it concentrates on the mathematical theory of systems with inputs and/or outputs and dynamics that are typically described by deterministic or stochastic ordinary or partial differential equations, differential algebraic equations or difference equations. Potential topics include, but are not limited to controllability, observability, and realization theory, stability theory of nonlinear systems, system identification, mathematical aspects of switched, hybrid, networked, and stochastic systems, and system theoretic aspects of optimal control and other controller design techniques. Application oriented papers are welcome if they contain a significant theoretical contribution.
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