State Estimation in Chemometrics PDF Download
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Author: Pierre C. Thijssen
Publisher: Woodhead Publishing
ISBN: 0081026226
Category : Science
Languages : en
Pages : 296
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Book Description
This 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
Author: Pierre C. Thijssen
Publisher: Elsevier
ISBN: 085709937X
Category : Science
Languages : en
Pages : 135
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Book Description
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
Author: Pierre Cornelis Thijssen
Publisher:
ISBN:
Category :
Languages : en
Pages : 128
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Book Description
Author: Pierre C. Thijssen
Publisher: Woodhead Publishing
ISBN: 0081026226
Category : Science
Languages : en
Pages : 296
Get Book Here
Book Description
This 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
Author: Henk Nico Jan Poulisse
Publisher:
ISBN:
Category : Estimation theory
Languages : en
Pages : 240
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Book Description
Author: Chaw-Bing Chang
Publisher: MIT Press
ISBN: 0262548917
Category : Technology & Engineering
Languages : en
Pages : 473
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Book Description
A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics, and defense industries. Applied state estimation and association is an important area for practicing engineers in aerospace, electronics, and defense industries, used in such tasks as signal processing, tracking, and navigation. This book offers a rigorous introduction to both theory and application of state estimation and association. It takes a unified approach to problem formulation and solution development that helps students and junior engineers build a sound theoretical foundation for their work and develop skills and tools for practical applications. Chapters 1 through 6 focus on solving the problem of estimation with a single sensor observing a single object, and cover such topics as parameter estimation, state estimation for linear and nonlinear systems, and multiple model estimation algorithms. Chapters 7 through 10 expand the discussion to consider multiple sensors and multiple objects. The book can be used in a first-year graduate course in control or system engineering or as a reference for professionals. Each chapter ends with problems that will help readers to develop derivation skills that can be applied to new problems and to build computer models that offer a useful set of tools for problem solving. Readers must be familiar with state-variable representation of systems and basic probability theory including random and stochastic processes.
Author: Matthew Simon Dyer
Publisher:
ISBN:
Category :
Languages : en
Pages : 285
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Book Description
Author: Chun-Chia Huang
Publisher:
ISBN:
Category :
Languages : en
Pages : 90
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Book Description
The problem of state estimation for a linear, time-varying, Gaussian system from measurements which are communicated over an imperfect channel is considered from several perspectives. The communication imperfections include intermittency, channel noise, quantization, etc. The first part of the thesis examines the stochastic behavior of the state estimation error and of the regulated state itself in situations of intermittent and quantized measurements via the formulation of an escape time problem dealing with the cumulative distribution function of the probability of escape of these signals from a given set. This is compared to and contrasted with earlier analyses which considered the behavior of Kalman filters with intermittent data based on moments and conditional moments, and the evaluation of the minimal number of bits required for mean square stabilization. The main result shows the escape time is characterized by a Markov chain which is amenable to explicit analysis through the calculation of the its cumulative distribution function. The second part of the thesis focuses on developing an exact formulation of the conditional probability density function of the system state given quantized innovations signals communicated from a linear Kalman filter at the transmitter. This is based on Bayesian filtering and extends previous works on the subject but without the requirement for simplifying assumptions. This latter result follows from a simple observation concerning the correct choice of state for the transmitter, which includes the transmitters' Kalman filter estimate. This leads to an exact and recursive approach.
Author: Felipe Galarce Marín
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
We develop a mathematical and numerical framework to solve state estimation problems for applications that present variations in the shape of the spatial domain. This situation arises typically in a biomedical context where inverse problems are posed on certain organs or portions of the body which inevitably involve morphological variations. If one wants to provide fast reconstruction methods, the algorithms must take into account the geometric variability. We develop and analyze a method which allows to take this variability into account without needing any a priori knowledge on a parametrization of the geometrical variations. For this, we rely on morphometric techniques involving Multidimensional Scaling, and couple them with reconstruction algorithms that make use of reduced model spaces pre-computed on a database of geometries. We prove the potential of the method on a synthetic test problem inspired from the reconstruction of blood flows and quantities of medical interest with Doppler ultrasound imaging.
Author: Sridhar Ungarala
Publisher:
ISBN:
Category : Chemical engineering
Languages : en
Pages :
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Book Description
Author: Frederick C. Johnson
Publisher:
ISBN:
Category :
Languages : en
Pages : 16
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Book Description
The techniques of recursive least squares analysis are applied to the state estimation problem for systems which contain both dynamic noise and serially correlated measurement noise. Generalized filter equations are obtained, and special cases of these equations which are suitable for real-time applications are considered. (Author).
