Accession Number:

ADA012014

Title:

Optimal Regulation of Stochastic Linear Systems with Adjustable Parameters,

Descriptive Note:

Corporate Author:

CALIFORNIA UNIV IRVINE SYSTEMS ENGINEERING AND OPERATIONS RESEARCH GROUP

Personal Author(s):

Report Date:

1975-04-01

Pagination or Media Count:

17.0

Abstract:

The problem of optimal regulation for stochastic linear systems with adjustable plant parameters is examined and posed as a nonlinear programming problem. A computational procedure, built around the Generalized Reduced Gradient algorithm, is developed to solve the associated plant-controller design problem. The procedure is illustrated via a lateral autopilot design in which the quality of regulation is improved by approximately 18 over that achievable with a nominal fixed plant.

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE