Controllability of the linear elasticity as a first-order system using a stabilized space-time mixed formulation

IF 0.9 4区 数学 Q1 MATHEMATICS Mathematical Control and Related Fields Pub Date : 2022-01-01 DOI:10.3934/mcrf.2022028
Arthur Bottois, N. Cîndea
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引用次数: 1

Abstract

The aim of this paper is to study the boundary controllability of the linear elasticity system as a first-order system in both space and time. Using the observability inequality known for the usual second-order elasticity system, we deduce an equivalent observability inequality for the associated first-order system. Then, the control of minimal \begin{document}$ L^2 $\end{document}-norm can be found as the solution to a space-time mixed formulation. This first-order framework is particularly interesting from a numerical perspective since it is possible to solve the space-time mixed formulation using only piecewise linear \begin{document}$ C^0 $\end{document}-finite elements. Numerical simulations illustrate the theoretical results.

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线性弹性作为一阶系统的可控性,使用稳定的时空混合公式
The aim of this paper is to study the boundary controllability of the linear elasticity system as a first-order system in both space and time. Using the observability inequality known for the usual second-order elasticity system, we deduce an equivalent observability inequality for the associated first-order system. Then, the control of minimal \begin{document}$ L^2 $\end{document}-norm can be found as the solution to a space-time mixed formulation. This first-order framework is particularly interesting from a numerical perspective since it is possible to solve the space-time mixed formulation using only piecewise linear \begin{document}$ C^0 $\end{document}-finite elements. Numerical simulations illustrate the theoretical results.
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来源期刊
Mathematical Control and Related Fields
Mathematical Control and Related Fields MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.50
自引率
8.30%
发文量
67
期刊介绍: MCRF aims to publish original research as well as expository papers on mathematical control theory and related fields. The goal is to provide a complete and reliable source of mathematical methods and results in this field. The journal will also accept papers from some related fields such as differential equations, functional analysis, probability theory and stochastic analysis, inverse problems, optimization, numerical computation, mathematical finance, information theory, game theory, system theory, etc., provided that they have some intrinsic connections with control theory.
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