State Estimation in Chemometrics
The Kalman Filter and Beyond
- 2nd Edition - August 14, 2020
- Imprint: Woodhead Publishing
- Authors: Pierre C. Thijssen, Sillas Hadjiloucas
- Language: English
- Paperback ISBN:9 7 8 - 0 - 0 8 - 1 0 2 6 0 3 - 8
- eBook ISBN:9 7 8 - 0 - 0 8 - 1 0 2 6 2 2 - 9
This unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. State Estimation in Chemometrics, second edition d… Read more
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Request a sales quoteThis unique text blends together state estimation and chemometrics for the application of advanced data-processing techniques. State Estimation in Chemometrics, second edition describes the basic methods for chemical analysis—the multicomponent, calibration and titration systems—from a new perspective. It succinctly reviews the history of state estimation and chemometrics and provides examples of its many applications, including classical estimation, state estimation, nonlinear estimation, the multicomponent, calibration and titration systems and the Kalman filter. The concepts are introduced in a logical way and built up systematically to appeal to specialist post-graduates working in this area as well as professionals in other areas of chemistry and engineering. This new edition covers the latest research in chemometrics, appealing to readers in bio-engineering, food science, pharmacy, and the life sciences fostering cross-disciplinary research.
- Features a new chapter surveying the most up-to-date scientific literature on chemometrics, highlighting developments that have occurred since the first edition published
- Includes a new chapter devoted to new applications for state estimation in chemometrics
- Covers a new chapter entirely devoted to subspace identification methods
- Provides several new real-life examples of methods such as multiple modeling, principal component analysis, iterative target transformation factor analysis, and the generalized standard addition method
Upper undergraduates and specialist post-graduates working in analytical chemistry and chemometrics, applied chemistry, chemical engineering, and process engineering; professionals in these and other areas of chemistry, biology, bio-engineering, food science, pharmaceuticals, engineering, and signal processing
- Cover image
- Title page
- Table of Contents
- Copyright
- Inscription
- About the authors
- Chapter 1: Introduction
- Abstract
- 1.1: History
- 1.2: Chemometrics
- 1.3: System view
- Chapter 2: Classical estimation
- Abstract
- 2.1: Modeling
- 2.2: Least squares
- 2.3: Curve fitting
- 2.4: Recursive approach
- 2.5: Examples
- Chapter 3: State estimation
- Abstract
- 3.1: Modeling
- 3.2: Intermezzo
- 3.3: Prediction
- 3.4: Filtering
- 3.5: Kalman filter
- 3.6: Smoothing
- 3.7: Examples
- Chapter 4: Statistics
- Abstract
- 4.1: Verification
- 4.2: Evaluation
- 4.3: Selection
- 4.4: Normality
- 4.5: Example
- Chapter 5: Nonlinear estimation
- Abstract
- 5.1: Modeling
- 5.2: Extended Kalman filter
- 5.3: Iterated extended Kalman filter
- 5.4: Iterated linear filter-smoother
- 5.5: Nonlinear smoothing
- 5.6: Examples
- Chapter 6: The multicomponent system
- Abstract
- 6.1: Multicomponent analysis
- 6.2: Stochastic drift
- 6.3: Examples
- Chapter 7: The calibration system
- Abstract
- 7.1: Linear calibration
- 7.2: Nonlinear calibration
- 7.3: Examples
- Chapter 8: The titration system
- Abstract
- 8.1: Discrete titration
- 8.2: Continuous titration
- 8.3: Nonlinear modeling
- 8.4: Simulation
- 8.5: Examples
- Chapter 9: Miscellaneous
- Abstract
- 9.1: Multiple modeling
- 9.2: Principal components
- 9.3: Standard addition
- 9.4: Examples
- Chapter 10: Subspace identification methods
- Abstract
- 10.1: Subspace identification methods
- Chapter 11: New applications in chemometrics
- Abstract
- 11.1: Limitations of the Kalman filter and new directions
- 11.2: Recent advances with the fractional-order Kalman filter
- 11.3: Kalman filter observability perspective
- 11.4: System analysis based on sum of squares techniques
- Chapter 12: Recent advances in chemometrics
- Abstract
- 12.1: Recent advances in set membership approaches to state estimation and mixture analysis techniques
- 12.2: Recent advances in wavelet methods in chemometrics
- 12.3: Recent advances in classification and clustering
- 12.4: Recent advances in pattern recognition approaches for chemometrics
- 12.5: Recent advances in fuzzy methods for chemometrics
- Appendix
- Abstract
- A: Matrix fundamentals
- B: Statistics fundamentals
- C: Square root filtering
- D: Chemical reaction networks
- Bibliography
- Index
- Edition: 2
- Published: August 14, 2020
- No. of pages (Paperback): 294
- No. of pages (eBook): 294
- Imprint: Woodhead Publishing
- Language: English
- Paperback ISBN: 9780081026038
- eBook ISBN: 9780081026229
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 NetherlandsSH
Sillas Hadjiloucas
Dr. Sillas Hadjiloucas received his Master’s Degree in Pure & Applied Biology in 1992 from the University of Leeds, United Kingdom, and in 1996, a PhD in Cybernetics from the University of Reading, United Kingdom. He worked on his Postdoc in Germany until the end of 1999. Dr. Hadjiloucas had worked as permanent member of Staff at Reading since January 2000, originally at the School of Systems Engineering (Cybernetics) and later transferred to the newly formed Bio-Engineering Department at Reading in Autumn 2016. His current appointment as Associate Professor is a joint one combining teaching and research.
Affiliations and expertise
Department of Bio-Engineering, School of Biological Sciences, University of Reading, UKRead State Estimation in Chemometrics on ScienceDirect