Some Stochastic Systems with a Fractional Brownian Motion and Applications to Control
Tyrone E. Duncan
Abstract
Tyrone E. Duncan
Abstract
In this paper some stochastic systems are considered that are described by stochastic differential equations with a fractional Brownian motion. The notion of a weak solution is introduced and obtained by a transformation of the measure for a fractional Brownian motion by a Radon-Nikodym derivative. This weak solution approach is used to solve a control problem for a controlled stochastic differential equation with a fractional Brownian motion and to verify the existence of an optimal control. An estimation problem for a stochastic signal observed with an additive fractional Brownian motion is formulated and solved. The conditional expectation which solves this problem is exhibited explicitly.
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In this paper some stochastic systems are considered that are described by stochastic differential equations with a fractional Brownian motion. The notion of a weak solution is introduced and obtained by a transformation of the measure for a fractional Brownian motion by a Radon-Nikodym derivative. This weak solution approach is used to solve a control problem for a controlled stochastic differential equation with a fractional Brownian motion and to verify the existence of an optimal control. An estimation problem for a stochastic signal observed with an additive fractional Brownian motion is formulated and solved. The conditional expectation which solves this problem is exhibited explicitly.
Key concepts: Fractional Brownian motion, Geometric Brownian motion, Stochastic differential equation, Mathematics, Brownian motion, Brownian excursion, Stochastic process, Diffusion process