A Recursive Estimation Algorithm for Identification of Dynamic Systems

Abstract

The report deals with the identification of unknown parameters in dynamic systems. In modeling a physical system, the problem of identifying the dynamics of a system are often encountered. The developed algorithm provides a tool to model all or parts of a dynamic system using input-output data sets from a real system. The methodology and techniques of this algorithm are based upon linear recursive estimation theory. The theoretical foundation and the pragmatics of using the ensemble data to estimate the unknown parameters are discussed at length in the development of the algorithm. As an application of the algorithm, experimental data from a man-in-the-loop simulation is used to estimate the parameters of a single axis model of the gunner. The tracking response of the gunner model compare favorably with data obtained from the simulation.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1974
Accession Number
AD0782954

Entities

People

  • James F. Leathrum
  • Toney R. Perkins

Organizations

  • United States Army Materiel Systems Analysis Activity

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Algorithms
  • Computational Science
  • Computations
  • Computers
  • Control Systems
  • Defense Systems
  • Differential Equations
  • Equations
  • Estimators
  • Experimental Data
  • Fire Control Systems
  • Frequency
  • Identification
  • Lead Angle
  • Simulations
  • Simulators

Readers

  • Mathematical Modeling and Probability Theory.
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.