A TUTORIAL DERIVATION OF RECRUSIVE WEIGHTED LEAST SQUARES STATE-VECTOR ESTIMATION THEORY (KALMAN THEORY)

Abstract

This is one of a series of tutorial reports deriving the discrete recursive Kalman estimation equations. The series proceeds from unweighted to weighted least squares parameter estimation in a vector space setting to the stage-wise updating, to time varying parameter or state variable estimation. The derivatives have been stage-wise tutorial in an attempt to make the theory accessible to the 'non-specialist' in optimization theory.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1968
Accession Number
AD0674406

Entities

People

  • James S. Pappas.

Organizations

  • United States Army Test and Evaluation Command

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Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

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  • Algebra
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  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.

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  • Space