Finite-Dimensional Backstepping Controller Design

In this article, we introduce a finite-dimensional version of backstepping controller design for stabilizing solutions of partial differential equations (PDEs) from boundary. Our controller uses only a finite number of Fourier modes of the state of solution, as opposed to the classical backstepping controller which uses all (infinitely many) modes. We apply our method to the reaction–diffusion equation, which serves only as a canonical example but the method is applicable also to other PDEs whose solutions can be decomposed into a slow finite-dimensional part and a fast tail, where the former dominates the evolution in large time. One of the main goals is to estimate the sufficient number of modes needed to stabilize the plant at a prescribed rate. In addition, we find the minimal number of modes that guarantee the stabilization at a certain (unprescribed) decay rate. Theoretical findings are supported with numerical solutions.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2024-12-24
DOI
https://doi.org/10.1109/tac.2024.3521806
Primary Topic
Magnetic Bearings and Levitation Dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Finite-Dimensional Backstepping Controller Design

Türker Özsarı, Varga Κ. Kalantarov, Kemal Yılmaz
IEEE Transactions on Automatic Control
Magnetic Bearings and Levitation Dynamics
article

Finite-Dimensional Backstepping Controller Design

Türker Özsarı, Varga Κ. Kalantarov, Kemal Yılmaz
article en

Abstract

In this article, we introduce a finite-dimensional version of backstepping controller design for stabilizing solutions of partial differential equations (PDEs) from boundary. Our controller uses only a finite number of Fourier modes of the state of solution, as opposed to the classical backstepping controller which uses all (infinitely many) modes. We apply our method to the reaction–diffusion equation, which serves only as a canonical example but the method is applicable also to other PDEs whose solutions can be decomposed into a slow finite-dimensional part and a fast tail, where the former dominates the evolution in large time. One of the main goals is to estimate the sufficient number of modes needed to stabilize the plant at a prescribed rate. In addition, we find the minimal number of modes that guarantee the stabilization at a certain (unprescribed) decay rate. Theoretical findings are supported with numerical solutions.

IEEE Transactions on Automatic ControlVol. 70(6)
Izmir Institute of Technology (TR), Koç University (TR), Bilkent University (TR), X-Fab (Germany) (DE)
Openalex Percentile: Top 71%
Magnetic Bearings and Levitation Dynamics
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