State Estimation in Chemometrics

The Kalman Filter and Beyond

Pierre C. Thijssen (Autor)

Buch | Softcover

132 Seiten

2008
Horwood Publishing Ltd (Verlag)
978-1-904275-33-6 (ISBN)

Infos

This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. It further applies system theory in order to develop a modular framework to be implemented on computer for the development of simple intelligent analyzers. Short reviews on the history of state estimation and chemometrics are given, together with examples of the applications described, including classical estimation, state estimation, non-linear estimation, the multi-component, calibration and titration systems and the Kalman filter. The contents are very systematic and build the ideas up logically to appeal to specialist post-graduates working in this area, together with professionals in other areas of chemistry and engineering.

Autor

Dr. Pierre Cornelis Thijssen studied chemistry at the Radboud University Nijmegen in the Netherlands, obtaining his Master’s Degree in 1978. He then moved to the University of Amsterdam in the Netherlands, where he graduated in 1986 with a PhD based on his thesis entitled “State Estimation in Chemometrics,” which is the basis of this book. Since then, Dr. Thijssen has worked for various companies as a laboratory manager and chemometrician.

Inhalt

Dedication
ABOUT OUR AUTHOR
Chapter 1: Introduction

Publisher Summary
1.1 History
1.2 Chemometrics
1.3 System view


Chapter 2: Classical estimation

Publisher Summary
2.1 Linear model
2.2 Least squares
2.3 Curve fitting
2.4 Recursive approach
2.5 Examples


Chapter 3: State estimation

Publisher Summary
3.1 State space model
3.2 Intermezzo
3.3 Prediction
3.4 Filtering
3.5 Kalman filter
3.6 Smoothing
3.7 Examples


Chapter 4: Statistics

Publisher Summary
4.1 Verification
4.2 Evaluation
4.3 Selection
4.4 Normality
4.5 Example


Chapter 5: Nonlinear estimation

Publisher Summary
5.1 Nonlinear state space model
5.2 Extended Kalman filter
5.3 Iterated extended Kalman filter
5.4 Iterated linearized filter-smoother
5.5 Nonlinear smoothing
5.6 Examples


Chapter 6: The multicomponent system

Publisher Summary
6.1 Multicomponent analysis
6.2 Stochastic drift
6.3 Examples


Chapter 7: The calibration system

Publisher Summary
7.1 Linear calibration
7.2 Nonlinear calibration
7.3 Examples


Chapter 8: The titration system

Publisher Summary
8.1 Discrete titration
8.2 Continuous titration
8.3 Nonlinear model
8.4 Examples


Chapter 9: Miscellaneous

Publisher Summary
9.1 Multiple modeling
9.2 Principal components
9.3 Examples


Appendix
Bibliography
Index

Produkt-Details

• Erscheint lt. Verlag: 28.2.2008
• Sprache: englisch
• Maße: 156 x 234 mm
• Gewicht: 220 g
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• ISBN-10: 1-904275-33-8 / 1904275338
• ISBN-13: 978-1-904275-33-6 / 9781904275336
• Zustand: Neuware