Model Reduction of Parabolic PDEs using Multivariate Splines

Tol, H.J.; de Visser, C.C.; Kotsonis, M.

doi:10.1080/00207179.2016.1222554

Model Reduction of Parabolic PDEs using Multivariate Splines

Title

Model Reduction of Parabolic PDEs using Multivariate Splines

Author

Tol, H.J. (TU Delft Control & Simulation)
de Visser, C.C. (TU Delft Control & Simulation)
Kotsonis, M. (TU Delft Aerodynamics)

Date

2016

Abstract

A new methodology is presented for model reduction of linear parabolic partial differential equations (PDEs) on general geometries using multivariate splines on triangulations. State-space descriptions are derived that can be used for control design. This method uses Galerkin projection with B-splines to derive a finite set of ordinary differential equations (ODEs). Any desired smoothness conditions between elements as well as the boundary conditions are flexibly imposed as a system of side constraints on the set of ODEs. Projection of the set of ODEs on the null space of the system of side constraints naturally produces a reduced-order model that satisfies these constraints. This method can be applied for both in-domain control and boundary control of parabolic PDEs with spatially varying coefficients on general geometries. The reduction method is applied to design and implement feedback controllers for stabilisation of a 1-D unstable heat equation and a more challenging 2-D reaction–convection–diffusion equation on an irregular domain. It is shown that effective feedback stabilisation can be achieved using low-order control models.

Subject

Distributed parameter systems
multivariate splines
Galerkin’s method
parabolic partial differential equations

To reference this document use:

http://resolver.tudelft.nl/uuid:29608e33-38b5-433c-ac86-84dc843108cf

DOI

https://doi.org/10.1080/00207179.2016.1222554

Embargo date

2017-11-01

ISSN

0020-7179

Source

International Journal of Control