Accession Number:

AD0641186

Title:

SUBOPTIMAL FEEDBACK CONTROL OF SYSTEMS WITH RANDOM PARAMETERS,

Descriptive Note:

Corporate Author:

ILLINOIS UNIV URBANA COORDINATED SCIENCE LAB

Personal Author(s):

Report Date:

1966-09-01

Pagination or Media Count:

111.0

Abstract:

This thesis relates the theory of optimal control with the concept of sensitivity. It deals with the following problem. Suppose one wants to design an optimal controller for a system that has a variable input and contains unknown random parameters. The controller must generate an optimal control for each allowed input and all allowed values of the random parameters. However, the controller cannot measure the parameters directly it can only measure the input to the system and the output of the system. Hence, it is a feedback controller that generates the optimal control for all allowed inputs and systems. This thesis gives a method for finding a suboptimal solution to the above problem however, the approximation of the optimal solution can be made to any desired degree of accuracy. For, the suboptimal solution is a partial sum of an infinite series that converges to the optimal solution to the problem. Author

Subject Categories:

  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE