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State Estimation in Chemometrics
The Kalman Filter and Beyond
1st Edition - February 28, 2008
Author: Pierre C. Thijssen
Paperback ISBN:9781904275336
9 7 8 - 1 - 9 0 4 2 7 5 - 3 3 - 6
eBook ISBN:9780857099372
9 7 8 - 0 - 8 5 7 0 9 - 9 3 7 - 2
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… Read more
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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.
Blends together state estimation and chemometrics for the application of advanced data-processing techniques
Provides short reviews on the history of state estimation and chemometrics, together with examples of the applications described
Specialist graduate students working in this area and professionals in other areas of chemistry and engineering
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
No. of pages: 132
Language: English
Published: February 28, 2008
Imprint: Woodhead Publishing
Paperback ISBN: 9781904275336
eBook ISBN: 9780857099372
PT
Pierre C. Thijssen
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.