State Estimation in Chemometrics
The Kalman Filter and Beyond
- 1st Edition - February 28, 2008
- Author: Pierre C. Thijssen
- Language: English
- Paperback ISBN:9 7 8 - 1 - 9 0 4 2 7 5 - 3 3 - 6
- eBook ISBN: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
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
- Edition: 1
- Published: February 28, 2008
- Language: English
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.
Affiliations and expertise
University of Amsterdam, The NetherlandsRead State Estimation in Chemometrics on ScienceDirect