Exact Controllability and Stabilization for Linear Dispersive PDE’s on the Two-Dimensional Torus

IF 2.2 2区 数学 Q2 AUTOMATION & CONTROL SYSTEMS SIAM Journal on Control and Optimization Pub Date : 2024-02-07 DOI:10.1137/22m1529361
Francisco J. Vielma-Leal, Ademir Pastor
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Abstract

SIAM Journal on Control and Optimization, Volume 62, Issue 1, Page 539-562, February 2024.
Abstract. The moment method is used to prove the exact controllability of a wide class of bidimensional linear dispersive PDE’s posed on the two-dimensional torus [math]. The control function is considered to be acting on a small vertical and horizontal strip of the torus. Our results apply to several well-known models including some bidimesional extensions of the Benajamin–Ono and Korteweg–de Vries equations. As a by product, the exponential stabilizability with any given decay rate is also established in the Sobolev space [math], with [math], by constructing an appropriated feedback control law.
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二维环面上线性分散 PDE 的精确可控性和稳定性
SIAM 控制与优化期刊》第 62 卷第 1 期第 539-562 页,2024 年 2 月。 摘要。利用矩法证明了在二维环上求解的一大类二维线性分散 PDE 的精确可控性[math]。控制函数被认为是作用在环的垂直和水平的小条带上。我们的结果适用于几个著名的模型,包括 Benajamin-Ono 和 Korteweg-de Vries 方程的一些二维扩展。作为副产品,通过构建适当的反馈控制法则,在索波列夫空间[math]与[math]中也建立了具有任意给定衰减率的指数稳定度。
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来源期刊
CiteScore
4.00
自引率
4.50%
发文量
143
审稿时长
12 months
期刊介绍: SIAM Journal on Control and Optimization (SICON) publishes original research articles on the mathematics and applications of control theory and certain parts of optimization theory. Papers considered for publication must be significant at both the mathematical level and the level of applications or potential applications. Papers containing mostly routine mathematics or those with no discernible connection to control and systems theory or optimization will not be considered for publication. From time to time, the journal will also publish authoritative surveys of important subject areas in control theory and optimization whose level of maturity permits a clear and unified exposition. The broad areas mentioned above are intended to encompass a wide range of mathematical techniques and scientific, engineering, economic, and industrial applications. These include stochastic and deterministic methods in control, estimation, and identification of systems; modeling and realization of complex control systems; the numerical analysis and related computational methodology of control processes and allied issues; and the development of mathematical theories and techniques that give new insights into old problems or provide the basis for further progress in control theory and optimization. Within the field of optimization, the journal focuses on the parts that are relevant to dynamic and control systems. Contributions to numerical methodology are also welcome in accordance with these aims, especially as related to large-scale problems and decomposition as well as to fundamental questions of convergence and approximation.
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