Reference
Zs. Lendek,
K. M. van Schagen, R.
Babuška, A. Veersma, and B. De Schutter, "Cascaded parameter estimation
for a water treatment plant using particle filters,"
Proceedings of the 17th IFAC World Congress, Seoul, Korea,
pp. 10857-10862, July 2008.
Abstract
Advanced online control of drinking water treatment plants requires reliable
models. These models in general involve temperature-dependent, uncertain
parameters, which can only be measured in laboratory conditions. We propose to
estimate these parameters online, using the available pH quality measurements.
Since the pH measurements are a nonlinear combination of the system's states, a
particle filter is used. Thanks to the cascaded nature of the plant, the
estimation is also performed in a cascaded setting. The performance is
evaluated both for simulated and real-world data. Results indicate that the
filter can be effectively used to improve the model accuracy.
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BibTeX
@inproceedings{Lenvan:07-036,
author = {Lendek, {\relax Zs}{\'{o}}fia and van Schagen, Kim M. and
Babu{\v{s}}ka, Robert and Veersma, Alex and De Schutter, Bart},
title = {Cascaded Parameter Estimation for a Water Treatment Plant Using
Particle Filters},
booktitle = {Proceedings of the 17th IFAC World Congress},
address = {Seoul, Korea},
pages = {10857--10862},
month = jul,
year = {2008}
}