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.