Stabilization for Wave Equation with Localized Kelvin–Voigt Damping on Cuboidal Domain: A Degenerate Case

IF 2.2 2区 数学 Q2 AUTOMATION & CONTROL SYSTEMS
Zhong-Jie Han, Zhuangyi Liu, Kai Yu
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引用次数: 0

Abstract

SIAM Journal on Control and Optimization, Volume 62, Issue 1, Page 441-465, February 2024.
Abstract. In this paper, we study the stabilization issue for a multidimensional wave equation with localized Kelvin–Voigt damping on a cuboidal domain, in which the damping region does not satisfy the geometric control condition (GCC). The variable damping coefficient is assumed to be degenerate near the interface. We prove that the system is polynomially stable with a decay rate depending on the degree of the degeneration [math]. A relationship between the decay order and [math] is identified. In particular, this decay rate is consistent with the optimal one for the corresponding system with constant damping coefficient (i.e., [math]) obtained in [K. Yu and Z.-J. Han, SIAM J. Control Optim., 59 (2021), pp. 1973–1988]. Moreover, it is the first result on the decay rates of the solutions to multidimensional wave equations with localized degenerate Kelvin–Voigt damping when GCC is not satisfied.
立方体域上具有局部开尔文-伏依格特阻尼的波方程的稳定:退化情况
SIAM 控制与优化期刊》第 62 卷第 1 期第 441-465 页,2024 年 2 月。 摘要本文研究了在立方体域上具有局部 Kelvin-Voigt 阻尼的多维波方程的稳定问题,其中阻尼区域不满足几何控制条件 (GCC)。假设可变阻尼系数在界面附近是退化的。我们证明该系统是多项式稳定的,其衰减率取决于退化程度[math]。我们确定了衰减阶数与[math]之间的关系。特别是,该衰减率与 [K. Yu and Z.-J. Han, SIAM J. Control Optim.此外,这是第一个关于不满足 GCC 时具有局部退化开尔文-沃依格阻尼的多维波方程解的衰减率的结果。
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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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