Abstract
In the paper a control of a singularly perturbed diffusion with unknown parameter in the drift term of the equation for slow variable, is studied. It is assumed, that the perturbation parameter which is small, and also unknown. An adaptive procedure that guarantees nearly optimal value of the long run average cost functional is constructed. As an intermediate result some new facts concerning the ergodic control of singularly perturbed diffusion are shown.
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
References
A. Bensoussan, Perturbation Methods in Optimal Control, J. Wiley, 1988
V. Borkar, Optimal Control of Diffusion Processes, Longman, 1990
T. Bielecki, L. Stettner, On Ergodic Control Problems for Singularly Perturbed Markov Processes, JAMO 20 (1989), 131–161
T. E. Duncan, B. Pasik-Duncan, L. Stettner, Almost Self-Optimizing Strategies for the Adaptive Control of Diffusion Processes, submitted for publication
T. E. Duncan, B. Pasik-Duncan, L. Stettner, On Ergodic and Adaptive Control Problems for Stochastic Differential Delay Equations, in preparation
H. J. Kushner, Optimality conditions for the average cost per unit time problem with a diffusion model, SIAM J. Control Optimiz. 16 (1978), 330–346
H. J. Kushner, Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems, Birkhäuser, 1990
R. Z. Khasminskii, Stochastic Stability of Differential Equations, Sigthoff and Noordhoff, Alphen van den Rijn, 1980
L. Stettner, On the Existence of an Optimal per Unit Time Control for a Degenerate Diffusion Model, Bull. Pol. Acad. Sci. 34 (1986), 749–769
L. Stettner, On nearly Selfoptimizing Strategies for a Discrete Time Uniformly Ergodic Adaptive Model, JAMO to appear
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1992 Springer-Verlag
About this paper
Cite this paper
Stettner, L. (1992). On adaptive control of a singularly perturbed diffusion model. In: Duncan, T.E., Pasik-Duncan, B. (eds) Stochastic Theory and Adaptive Control. Lecture Notes in Control and Information Sciences, vol 184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0113261
Download citation
DOI: https://doi.org/10.1007/BFb0113261
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55962-7
Online ISBN: 978-3-540-47327-5
eBook Packages: Springer Book Archive