Optimal Correction Problem of a Multidimensional Stochastic System,
Abstract
We consider a stochastic dynamic system which is governed by a multidimensional diffusion process with constant drift and diffusion coefficients. The correction corresponds to an additive input which is under control. There is no limit on the rate of input into the system. The objective is to minimize the expected cumulative cost associated with the position of the system and the amount of control exerted. It is proved that Hamilton-Jacobi-Bellman's equation of the problem has a solution, which corresponds to the optimal cost of the problem. An existence of optimal policy is proved.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 1987
- Accession Number
- ADA186727
Entities
People
- J. L. Menaldi
- M. I. Taksar
Organizations
- Wayne State University