Finite-dimensional homogeneous boundary control for a 1D reaction-diffusion equation

In this paper, we address the problem of finite-dimensional boundary stabilization of the 1 D reaction-diffusion equation. Using the modal decomposition approach, we propose a finite-dimensional homogeneous controller, stabilizing the unstable dynamics while ensuring the stability of the residual part. The closed-loop system with homogeneous feedback is well-posed and stable. The proposed controller is proven superior to a finite-dimensional linear feedback controller in terms of closed-loop performance. The numerical simulations are presented to support the analytical results.

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Publication Details

Published
2024-12-16
DOI
https://doi.org/10.1109/cdc56724.2024.10886236
Citations
4
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
1.45
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article

Finite-dimensional homogeneous boundary control for a 1D reaction-diffusion equation

Emilia Fridman, Nicolás Espitia, Andrey Polyakov, Mericel Ayamou
4 citations
Advanced Mathematical Modeling in Engineering
1.45
article

Finite-dimensional homogeneous boundary control for a 1D reaction-diffusion equation

Emilia Fridman, Nicolás Espitia, Andrey Polyakov, Mericel Ayamou
article en
4 citations

Abstract

In this paper, we address the problem of finite-dimensional boundary stabilization of the 1 D reaction-diffusion equation. Using the modal decomposition approach, we propose a finite-dimensional homogeneous controller, stabilizing the unstable dynamics while ensuring the stability of the residual part. The closed-loop system with homogeneous feedback is well-posed and stable. The proposed controller is proven superior to a finite-dimensional linear feedback controller in terms of closed-loop performance. The numerical simulations are presented to support the analytical results.

Centre National de la Recherche Scientifique (FR), Tel Aviv University (IL), Université de Lille (FR), École Centrale de Lille (FR)
Openalex Percentile: Top 16%
Advanced Mathematical Modeling in Engineering
1.45
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