Accession Number:

ADA021154

Title:

Optimal Regulation of Stochastic Linear Systems with Adjustable Parameters,

Descriptive Note:

Corporate Author:

CALIFORNIA UNIV IRVINE SCHOOL OF ENGINEERING

Personal Author(s):

• Meditch,James S.
• Roberts,R. F.

Report Date:

1975-12-01

Pagination or Media Count:

8.0

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. Author

Descriptors:

• *CONTROL SYSTEMS
• *STOCHASTIC PROCESSES
• *CONTROL THEORY
• ALGORITHMS
• LINEAR SYSTEMS
• OPTIMIZATION
• COMPUTATIONS
• PARAMETERS
• ITERATIONS
• AUTOMATIC PILOTS
• CLOSED LOOP SYSTEMS

Subject Categories:

• Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE