THE INVERSE PROBLEM OF OPTIMAL CONTROL.

Abstract

The relation is explored between linear feedback laws chosen to reduce the sensitivity of a linear time-invariant system to plant parameter variations, and linear feedback laws derived on an optimal control basis from quadratic loss functions. A general equivalence between the two types of design is established for multiple-input, multiple-output systems. The sensitivity improvement can be calculated for optimally design systems, and a quadratic loss function can be found for a system designed to reduce the sensitivity to plant parameter variations. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1966
Accession Number
AD0639704

Entities

People

  • Brian Anderson

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Feedback
  • Inverse Problems
  • Sensitivity

Fields of Study

  • Physics

Readers

  • Control Systems Engineering.
  • Operations Research
  • Radio communications and signal processing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms