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Adaptive control of discrete time Markov processes by the large deviations method

T. DuncanB. Pasik-DuncanŁukasz Stettner — 2000

Applicationes Mathematicae

Some discrete time controlled Markov processes in a locally compact metric space whose transition operators depend on an unknown parameter are described. The adaptive controls are constructed using the large deviations of empirical distributions which are uniform in the parameter that takes values in a compact set. The adaptive procedure uses a finite family of continuous, almost optimal controls. Using the large deviations property it is shown that an adaptive control which is a fixed almost optimal...

Ergodic control of linear stochastic equations in a Hilbert space with fractional Brownian motion

Tyrone E. DuncanB. MaslowskiB. Pasik-Duncan — 2015

Banach Center Publications

A linear-quadratic control problem with an infinite time horizon for some infinite dimensional controlled stochastic differential equations driven by a fractional Brownian motion is formulated and solved. The feedback form of the optimal control and the optimal cost are given explicitly. The optimal control is the sum of the well known linear feedback control for the associated infinite dimensional deterministic linear-quadratic control problem and a suitable prediction of the adjoint optimal system...

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