Modelling of Wastewater Treatment Plant for Monitoring and Control Purposes by State – Space Wavelet Networks

  • Adam Borowa Gdansk University of Technology, Department of Automatic Control, ul. G. Narutowicza 11/12, 80 952 Gdansk, Poland
  • Mietek A. Brdys The University of Birmingham, School of Engineering, Department of Electronic, Electrical and Computer Engineering, Birmingham B15 2TT, UK E-mail:
  • Krzysztof Mazur Gdansk University of Technology, Department of Automatic Control, ul. G. Narutowicza 11/12, 80 952 Gdansk, Poland E-mail: aborowa@ely.pg.gda.pl,

Abstract

Most of industrial processes are nonlinear, not stationary, and dynamical with at least few different time scales in their internal dynamics and hardly measured states. A biological wastewater treatment plant falls into this category. The paper considers modelling such processes for monitorning and control purposes by using State - SpaceWavelet Neural Networks (SSWN). The modelling method is illustrated based on bioreactors of the wastewater treatment plant. The learning algorithms and basis function (multidimensional wavelets) are also proposed. The simulation results based on real data record are presented.

References

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Published
2007-04-01
How to Cite
BOROWA, Adam; BRDYS, Mietek A.; MAZUR, Krzysztof. Modelling of Wastewater Treatment Plant for Monitoring and Control Purposes by State – Space Wavelet Networks. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 2, n. 2, p. 121-131, apr. 2007. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2345>. Date accessed: 02 july 2020. doi: https://doi.org/10.15837/ijccc.2007.2.2345.

Keywords

neural network models, model approximation, learning algorithms, waste treatment