On the Application of Deterministic Optimization Methods to Stochastic Control Problems,
Abstract
A technique is presented by which one can apply the Minimum Principle of Pontryagin to stochastic optimal control problems formulated around linear systems with Gaussian noises and general cost criteria. Using this technique, the stochastic nature of the problem is suppressed but for two expectation operations, the optimization being essentially deterministic. The technique is applied to systems with quadratic and non-quadratic costs to illustrate its use. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1971
- Accession Number
- AD0738310
Entities
People
- Leslie C. Kramer
- Michael Athans
Organizations
- Massachusetts Institute of Technology