Optimal Control of Markov Processes.
Abstract
The purpose of this article is to give an overview of some recent developments in optimal stochastic control theory. Broadly speaking, stochastic control theory deals with models of systems whose evolution is affected both by certain random influences and also by certain inputs chosen by a controller. The authors are concerned here only with state-space formulations of control problems in continuous time. Moreover, the authors consider only markovian control problems in which the state x sub t of the process being controlled is Markov provided the controller follows a Markov control policy. They mainly discuss the case of continuously acting control, in which at each time t a control u sub t is applied to the system.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1983
- Accession Number
- ADA129296
Entities
People
- Wendell Fleming
Organizations
- Brown University