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Optimal control of a stochastic heat equation with boundary-noise and boundary-control

Published online by Cambridge University Press:  14 February 2007

Arnaud Debussche ,
Marco Fuhrman  and
Gianmario Tessitore
Arnaud Debussche
Affiliation:
ENS Cachan, Antenne de Bretagne, Campus de Ker Lann, 35170, Bruz Cedex, France; Arnaud.Debussche@bretagne.ens-cachan.fr
Marco Fuhrman
Affiliation:
Dipartimento di Matematica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133 Milano, Italy; marco.fuhrman@polimi.it
Gianmario Tessitore
Affiliation:
Dipartimento di Matematica e Applicazioni, Università di Milano-Bicocca, via R. Cozzi 53 - Edificio U5, 20125 Milano, Italy; gianmario.tessitore@unimib.it
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Abstract

We are concerned with the optimal control of a nonlinear stochastic heat equation on a bounded real interval with Neumann boundary conditions. The specificity here is that both the control and the noise act on the boundary. We start by reformulating the state equation as an infinite dimensional stochastic evolution equation. The first main result of the paper is the proof of existence and uniqueness of a mild solution for the corresponding Hamilton-Jacobi-Bellman (HJB) equation. The C1 regularity of such a solution is then used to construct the optimal feedback for the control problem. In order to overcome the difficulties arising from the degeneracy of the second order operator and from the presence of unbounded terms we study the HJB equation by introducing a suitable forward-backward system of stochastic differential equations as in the appraoch proposed in [Fuhrman and Tessitore, Ann. Probab.30 (2002) 1397-1465; Pardoux and Peng, Lect. Notes Control Inf. Sci.176 (1992) 200-217] for finite dimensional and infinite dimensional semilinear parabolic equations respectively.

Keywords

Boundary noiseoptimal boundary controlHJB equationbackward stochastic differential equations.
Type
Research Article
Information
ESAIM: Control, Optimisation and Calculus of Variations , Volume 13 , Issue 1 , January 2007 , pp. 178 - 205
Copyright
© EDP Sciences, SMAI, 2007

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