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 computers 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 logically build upon the ideas, making this book appealing to specialist post-graduates working in this area, along with professionals in other areas of chemistry and engineering. Contents: Introduction u Classical Estimation Linear Model; Least Squares; Curve-Fitting; Recursive Approach; Examples — State Estimation State Space Model; Intermezzo; Prediction; Filtering; Kalman Filter; Smo
