Model Structure Determination and Identifiability Problems in System Identification.

Abstract

Bounds for the probability of identification error are derived and a quantitative measure for identifiability is established. An error analysis for the basic identification procedure is presented, as well as simulation results for this procedure. Conditions for the identifiability of process and measurement noise covariances are derived. Complete sets of invariants for linear systems are presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1974
Accession Number
AD0774995

Entities

People

  • Edison T. S. Tse
  • Howard L. Weinert

Tags

DTIC Thesaurus Topics

  • Covariance
  • Data Science
  • Error Analysis
  • Errors
  • Identification
  • Information Science
  • Linear Systems
  • Mathematical Analysis
  • Mathematics
  • Measurement
  • Probability
  • Simulations

Readers

  • Computer Engineering
  • Regression Analysis.