Investigation of MRAS Identification Techniques for the Human Operator Problem.

Abstract

This report summarizes, develops, analyzes, and compares MRAS identifiers for each of the three classes: linear time-invariant, linear time-varying, and nonlinear time-invariant systems. Design guidelines are presented as to practical implementation considerations such as identifier stability, computer computational burden, tracking accuracy and noise effects. Results are provided to demonstrate the good accuracy achievable with each of the three classes of MRAS identifiers. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 1978
Accession Number
ADA069951

Entities

People

  • Bruce K. Colburn

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Carbonate Esters
  • Complex Variables
  • Control Systems
  • Data Science
  • Engineering
  • Equations
  • Filters
  • Frequency
  • Information Science
  • Linear Systems
  • Mathematical Filters
  • Nonlinear Systems
  • Plastic Explosives
  • Simulations
  • Surveys
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Instructional Design and Training Evaluation.