Errors-in-Variables Methods in System Identification

This book presents an overview of the different errors-in-variables (EIV) methods that can be used for system identification. Readers will explore the properties of an EIV problem. Such problems play an important role when the purpose is the determination of the physical laws that describe the proce...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Söderström, Torsten (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Communications and Control Engineering,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Chapter 1. Introduction
  • Chapter 2. The Static Case
  • Chapter 3. The Errors-in-Variables Problem for Dynamic Systems
  • Chapter 4. Identifiability Aspects
  • Chapter 5. Modeling Aspects
  • Chapter 6. Elementary Methods
  • Chapter 7. Methods Based on Bias-Compensation
  • Chapter 8. Covariance Matching
  • Chapter 9. Prediction Error and Maximum Likelihood Methods
  • Chapter 10. Frequency Domain Methods
  • Chapter 11. Total Least Squares
  • Chapter 12. Methods for Periodic Data
  • Chapter 13. Algorithmic Properties
  • Chapter 14. Asymptotic Distributions
  • Chapter 15. Errors-in-Variables Problems in Practice
  • Index
  • References.