Errors-in-Variables Methods in System Identification

Shows the reader how to deal with measurement noises present in both input to and output from a system Assists readers in establishing the physical laws that describe their processes Compares the results of different errors-in-variables methods, allowing the reader to choose the most suitable

Auteur

Torsten Söderström received a PhD degree in automatic control in 1973, from Lund Institute of Technology, Sweden. He is a Life Fellow of IEEE, and an IFAC Fellow. Since 1974, he has been with the Division of Systems and Control at Uppsala University, where he is now a professor emeritus of automatic control. His main research interests are in the fields of system identification and estimation. In these areas he has published numerous papers, and is the co-author of four books. In 1981 he was given an Automatica Paper Prize Award along with other co-authors. He has been the Automatica editor for the area of system identification since 1992.

Contenu

Chapter 1. Introduction.- Chapter 2. The Static Case.- Chapter 3. The Errors-in-Variables Problem for Dynamic Systems.- Chapter 4. Identiability 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.