Cascaded parameter estimation for a water treatment plant using particle filters


Reference:
Zs. Lendek, K.M. van Schagen, R. Babuska, 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 entry:

@inproceedings{Lenvan:07-036,
        author={{\relax Zs}. Lendek and K.M. van Schagen and R. Babu{\v{s}}ka and A. Veersma and B. {D}e Schutter},
        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},
        doi={10.3182/20080706-5-KR-1001.01839}
        }



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