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Stochastic Linear Quadratic Optimal Control Problems

Stochastic Linear Quadratic Optimal Control Problems . This paper is concerned with the stochastic linear quadratic optimal control problem (LQ problem, for short) for which the coefficients are allowed to be random and the cost functional is allowed to have a negative weight on the square of the control variable. Some intrinsic relations among the LQ problem, the stochastic maximum principle, and the (linear) forward—backward stochastic differential equations are established. Some results involving Riccati equation are discussed as well. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Mathematics & Optimization Springer Journals

Stochastic Linear Quadratic Optimal Control Problems

Applied Mathematics & Optimization , Volume 43 (1) – Jan 1, 2001

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References (22)

Publisher
Springer Journals
Copyright
Copyright © Springer-Verlag New York Inc. 2001
Subject
Mathematics; Calculus of Variations and Optimal Control; Optimization; Systems Theory, Control; Theoretical, Mathematical and Computational Physics; Mathematical Methods in Physics; Numerical and Computational Physics, Simulation
ISSN
0095-4616
eISSN
1432-0606
DOI
10.1007/s002450010016
Publisher site
See Article on Publisher Site

Abstract

. This paper is concerned with the stochastic linear quadratic optimal control problem (LQ problem, for short) for which the coefficients are allowed to be random and the cost functional is allowed to have a negative weight on the square of the control variable. Some intrinsic relations among the LQ problem, the stochastic maximum principle, and the (linear) forward—backward stochastic differential equations are established. Some results involving Riccati equation are discussed as well.

Journal

Applied Mathematics & OptimizationSpringer Journals

Published: Jan 1, 2001

Keywords: Key words. Stochastic LQ problem, Stochastic maximum principle, Forward—backward stochastic differential equations, Riccati equation. AMS Classification. 93E20, 49K45, 49N10, 60H10.

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