2015
DOI: 10.4208/eajam.210214.061214a
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Distributed Feedback Control of the Benjamin-Bona-Mahony-Burgers Equation by a Reduced-Order Model

Abstract: A reduced-order model for distributed feedback control of the Benjamin-Bona-Mahony-Burgers (BBMB) equation is discussed. To retain more information in our model, we first calculate the functional gain in the full-order case, and then invoke the proper orthogonal decomposition (POD) method to design a low-order controller and thereby reduce the order of the model. Numerical experiments demonstrate that a solution of the reduced-order model performs well in comparison with a solution for the full-order descripti… Show more

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Cited by 4 publications
(1 citation statement)
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“…For stabilization of the BBM-B equation, the authors in [10] have shown global stabilization results corresponding to µ = 1 with zero Dirichlet boundary condition at one end and Neumann boundary control on the other end. Using a reduced order model, distributed feedback control for the BBM-B equation is discussed in [21]. Also, quadratic B-spline finite element method followed by linear quadratic regulator theory to design feedback control, is used to stabilize in [22] without any convergence analysis.…”
Section: Introductionmentioning
confidence: 99%
“…For stabilization of the BBM-B equation, the authors in [10] have shown global stabilization results corresponding to µ = 1 with zero Dirichlet boundary condition at one end and Neumann boundary control on the other end. Using a reduced order model, distributed feedback control for the BBM-B equation is discussed in [21]. Also, quadratic B-spline finite element method followed by linear quadratic regulator theory to design feedback control, is used to stabilize in [22] without any convergence analysis.…”
Section: Introductionmentioning
confidence: 99%