Abstract
The use of nonstandard techniques in stochastic optimal control theory is illustrated by discussing two controlled systems, the first with observations restricted to be a cumulative digital read-out, the second with complete observations and singular noise. The main ingredient in each case is the Loeb construction of standard measures from nonstandard measures, and the application of this to stochastic analysis as developed by Anderson and Keisler.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Albeverio S., Fenstad J.-E., Hoegh-Krohn R. &Lindstrom, T.L., Nonstandard Methods in Stochastic Analysis and Mathematical Physics, Academic Press, New York, to appear.
Anderson, R.M., A non-standard representation for Browni an motion and Itô integration, Israel J. Math. 25 (1976), 15–46.
Anderson, R.M. and Rashid, S., A nonstandard characterisation of weak convergence, Proc. Amer. Math. Soc. 69 (1978), 327–332.
Benes V.E., Existence of optimal stochastic control laws, SIAM J. Control 9 (1971), 446–472.
Cutland N.J., Nonstandard measure theory and its applications, Bull. London Math. Soc. 15 (1983), 529–589.
Cutland N.J., Infinitesimal methods in control theory: deterministic and stochastic, Acta Appl. Math. 5 (1986), 105–135.
Cutland N.J., Optimal control for stochastic systems with singular noise, Systems& Control Letters 7 (1986), 55–59.
Keisler H.J., Foundations of Infinitesimal Calculus, Prindle, Webber & Schmidt, 1976.
Keisler H.J., An infinitesimal approach to stochastic analysis, Memoirs of the AMS 197, AMS, Providence 1984.
Hurd A.E.& Loeb P., An Introduction to Nonstandard Real Analysis, Academic Press, 1985.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1988 D. Reidel Publishing Company
About this chapter
Cite this chapter
Cutland, N.J. (1988). Nonstandard Techniques in Stochastic Optimal Control Theory. In: Albeverio, S., Blanchard, P., Hazewinkel, M., Streit, L. (eds) Stochastic Processes in Physics and Engineering. Mathematics and Its Applications, vol 42. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2893-0_4
Download citation
DOI: https://doi.org/10.1007/978-94-009-2893-0_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-7803-0
Online ISBN: 978-94-009-2893-0
eBook Packages: Springer Book Archive