Borkar, Vivek S. (1988) The probabilistic structure of controlled diffusion processes Acta Applicandae Mathematicae, 11 (1). pp. 19-48. ISSN 0167-8019
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Official URL: http://www.springerlink.com/content/k5122566226728...
Related URL: http://dx.doi.org/10.1007/BF00047113
Abstract
This paper surveys those aspects of controlled diffusion processes wherein the control problem is treated as an optimization problem on a set of probability measures on the path space. This includes: (i) existence results for optimal admissible or Markov controls (both in nondegenerate and degenerate cases), (ii) a probabilistic treatment of the dynamic programming principle, (iii) the corresponding results for control under partial observations, (iv) a probabilistic approach to the ergodic control problem. The paper is expository in nature and aims at giving a unified treatment of several old and new results that evolve around certain central ideas.
Item Type: | Article |
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Source: | Copyright of this article belongs to Springer-Verlag. |
Keywords: | Stochastic Optimal Control; Controlled Diffusion Processes; Existence of Optimal Controls; Markov Controls; Dynamic Programming Principle; Control under Partial Observation; Ergodic Control |
ID Code: | 5375 |
Deposited On: | 18 Oct 2010 09:05 |
Last Modified: | 20 May 2011 10:50 |
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