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Necessary Conditions for Optimal Control of Stochastic Evolution Equations in Hilbert Spaces

Necessary Conditions for Optimal Control of Stochastic Evolution Equations in Hilbert Spaces We consider a nonlinear stochastic optimal control problem associated with a stochastic evolution equation. This equation is driven by a continuous martingale in a separable Hilbert space and an unbounded time-dependent linear operator. We derive a stochastic maximum principle for this optimal control problem. Our results are achieved by using the adjoint backward stochastic partial differential equation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Mathematics and Optimization Springer Journals

Necessary Conditions for Optimal Control of Stochastic Evolution Equations in Hilbert Spaces

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References (45)

Publisher
Springer Journals
Copyright
Copyright © 2011 by Springer Science+Business Media, LLC
Subject
Mathematics; Mathematical Methods in Physics; Calculus of Variations and Optimal Control; Optimization; Systems Theory, Control; Numerical and Computational Physics; Theoretical, Mathematical and Computational Physics
ISSN
0095-4616
eISSN
1432-0606
DOI
10.1007/s00245-010-9125-6
Publisher site
See Article on Publisher Site

Abstract

We consider a nonlinear stochastic optimal control problem associated with a stochastic evolution equation. This equation is driven by a continuous martingale in a separable Hilbert space and an unbounded time-dependent linear operator. We derive a stochastic maximum principle for this optimal control problem. Our results are achieved by using the adjoint backward stochastic partial differential equation.

Journal

Applied Mathematics and OptimizationSpringer Journals

Published: Jun 1, 2011

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