Feedback stabilization of a parabolic coupled system and its numerical study

IF 0.9 4区 数学 Q1 MATHEMATICS Mathematical Control and Related Fields Pub Date : 2023-01-01 DOI:10.3934/mcrf.2023022
Wasim Akram, Debanjana Mitra, Neela Nataraj, Mythily Ramaswamy
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Abstract

In the first part of this article, we study feedback stabilization of a parabolic coupled system by using localized interior controls. The system is feedback stabilizable with exponential decay $ -\omega<0 $ for any $ \omega>0 $. A stabilizing control is found in feedback form by solving a suitable algebraic Riccati equation. In the second part, a conforming finite element method is employed to approximate the continuous system by a finite dimensional discrete system. The approximated system is also feedback stabilizable (uniformly) with exponential decay $ -\omega+\epsilon $, for any $ \epsilon>0 $ and the feedback control is obtained by solving a discrete algebraic Riccati equation. The error estimate of stabilized solutions as well as stabilizing feedback controls are obtained. We validate the theoretical results by numerical implementations.
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抛物型耦合系统的反馈镇定及其数值研究
在本文的第一部分,我们研究了利用局部内部控制的抛物型耦合系统的反馈镇定问题。对于任意$ \omega>0 $,系统具有指数衰减$ -\omega<0 $的反馈稳定性。通过求解一个合适的代数Riccati方程,找到了反馈形式的稳定控制。在第二部分中,用有限维离散系统逼近连续系统时,采用了一致的有限元方法。对于任意$ \epsilon>0 $,该近似系统具有指数衰减$ -\omega+\epsilon $的反馈稳定性,并通过求解离散代数Riccati方程得到反馈控制。得到了稳定解的误差估计和稳定反馈控制。通过数值实现验证了理论结果。
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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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