Optimal Regulation of Stochastic Linear Systems with Adjustable Parameters,

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.

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1975
Accession Number
ADA012014

Entities

People

  • J. S. Meditch
  • R. F. Roberts

Organizations

  • University of California, Irvine

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Automatic Pilots
  • Computer Programming
  • Evolutionary Algorithms
  • Heuristic Methods
  • Linear Systems
  • Mathematics
  • Nonlinear Programming
  • Regulations

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.