An adaptive POD approximation method for the control of advection-diffusion equations

Abstract : We present an algorithm for the approximation of a finite horizon optimal control problem for advection-diffusion equations. The method is based on the coupling between an adaptive POD representation of the solution and a Dynamic Programming approximation scheme for the corresponding evolutive Hamilton-Jacobi equation. We discuss several features regarding the adaptivity of the method, the role of error estimate indicators to choose a time subdivision of the problem and the computation of the basis functions. Some test problems are presented to illustrate the method.
Type de document :
Chapitre d'ouvrage
Bredies, K.; Clason, C.; Kunisch, K.; von Winckel, G. Control and Optimization with PDE Constraints, 164, Springer, 2013, International Series of Numerical Mathematics,, 978-3-0348-0630-5
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https://hal.inria.fr/hal-00800433
Contributeur : Estelle Bouzat <>
Soumis le : mercredi 13 mars 2013 - 16:23:37
Dernière modification le : mercredi 27 juillet 2016 - 14:48:48

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  • HAL Id : hal-00800433, version 1
  • ARXIV : 1302.4072

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Alessandro Alla, Maurizio Falcone. An adaptive POD approximation method for the control of advection-diffusion equations. Bredies, K.; Clason, C.; Kunisch, K.; von Winckel, G. Control and Optimization with PDE Constraints, 164, Springer, 2013, International Series of Numerical Mathematics,, 978-3-0348-0630-5. 〈hal-00800433〉

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