Adaptive Parameter Identification,

Abstract

An extended Kalman filter with a fictitious noise input is developed for tracking time varying parameters. An adaptation algorithm is used for adjusting the covariance of the fictitious noise according to the magnitude of the measured residuals. Application of the filter to the tracking of time varying VTOL parameters is shown to give an off line model that reproduces the process behavior much better than a model with fixed parameters. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1971
Accession Number
AD0739694

Entities

People

  • Daniel Beaulier
  • Howard Kaufman

Organizations

  • Rensselaer Polytechnic Institute

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Covariance
  • Estimators
  • Filters
  • Identification
  • Kalman Filters
  • Mathematical Analysis
  • Mathematical Filters
  • Mathematics
  • Residuals
  • Statistical Algorithms
  • Statistical Analysis

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.