AGARD Flight Test Techniques Series. Volume 2. Identification of Dynamic Systems

Abstract

This AGARDograph is the second in AGARD's Flight Test Technique Series. It addresses the problem of estimating parameters of dynamic systems. The aim is to present the theoretical basis of system identification and parameter estimations in a manner that is complete and rigorous, yet understandable with minimum prerequisites. It concentrates in maximum likelihood and related knowledge of stochastic processes or functional analysis. No previous background in statistics is assumed. The treatment empasizes unification of the various areas in estimation theory and practice. For example, the theory of estimation in dynamic systems is treated as a direct outgrowth of the static system theory. Topics covered include: Numerical Optimization methods; Probability; Statistical Estimators; Estimation in static systems; Stochastic processes; State Estimation in dynamic systems; Output error; Filter error; and Equation error methods of parameter estimation in dynamic systems; and the accuracy of the estimates. Keywords include: Dynamic properties, Dynamic response, Identifying, Systems analysis, and Statistical analysis.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA153321

Entities

People

  • K. W. Iliff
  • R. E. Maine

Organizations

  • AGARD

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programs
  • Data Science
  • Differential Equations
  • Gaussian Distributions
  • Information Processing
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Stochastic Processes
  • Surveys
  • Theorems

Fields of Study

  • Engineering

Readers

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