Boundary Stabilization of the Korteweg-de Vries-Burgers Equation with an Infinite Memory-Type Control and Applications: A Qualitative and Numerical Analysis

IF 1.6 2区 数学 Q2 MATHEMATICS, APPLIED
Boumediène Chentouf, Aissa Guesmia, Mauricio Sepúlveda Cortés, Rodrigo Véjar Asem
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引用次数: 0

Abstract

This article is intended to present a qualitative and numerical analysis of well-posedness and boundary stabilization problems of the well-known Korteweg-de Vries-Burgers equation. Assuming that the boundary control is of memory type, the history approach is adopted in order to deal with the memory term. Under sufficient conditions on the physical parameters of the system and the memory kernel of the control, the system is shown to be well-posed by combining the semigroups approach of linear operators and the fixed point theory. Then, energy decay estimates are provided by applying the multiplier method. An application to the Kuramoto-Sivashinsky equation will be also given. Lastly, we present a numerical analysis based on a finite difference method and provide numerical examples illustrating our theoretical results.

Abstract Image

具有无限记忆型控制的 Korteweg-de Vries-Burgers 方程的边界稳定及其应用:定性与数值分析
本文旨在对著名的 Korteweg-de Vries-Burgers 方程的好拟性和边界稳定问题进行定性和数值分析。假设边界控制是记忆类型的,则采用历史方法来处理记忆项。在系统物理参数和控制记忆核的充分条件下,通过结合线性算子的半群方法和定点理论,证明系统可以很好地求解。然后,应用乘法器方法提供了能量衰减估计。我们还将给出 Kuramoto-Sivashinsky 方程的应用。最后,我们将基于有限差分法进行数值分析,并提供数值示例来说明我们的理论结果。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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