DocumentCode
2266208
Title
Markov chain approximations for deterministic control problems with affine dynamics and quadratic cost in the control
Author
Boué, Michelle ; Dupuis, Paul
Author_Institution
Div. of Appl. Math., Brown Univ., Providence, RI, USA
Volume
4
fYear
1997
fDate
10-12 Dec 1997
Firstpage
3424
Abstract
We restrict our attention to an important class of deterministic optimal control problems: those with dynamics that are affine in the control and cost that is quadratic in the control. As a representative control problem in this class we consider an escape time problem. The chains we construct are much more broadly applicable, since the only germane part of the problem formulation will be the form of the dynamics and the running cost. In particular, these chains can also be used for discounted problems, infinite time problems that do not involve discounting and constrained dynamics
Keywords
Markov processes; dynamics; optimal control; Markov chain approximations; affine dynamics; deterministic optimal control problems; discounted problems; escape time problem; infinite time problems; quadratic cost; Calculus; Computer vision; Control systems; Cost function; Filtering; Filters; Mathematics; Noise robustness; Optimal control; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location
San Diego, CA
ISSN
0191-2216
Print_ISBN
0-7803-4187-2
Type
conf
DOI
10.1109/CDC.1997.652377
Filename
652377
Link To Document