An optimized regularization method using volterra model application to atrazine oxidation process

Author

Bibes, G. ; Ouvrard, R. ; Coirault, P. ; Rambault, L. ; Trigeassou, J.C.

Author_Institution

Lab. d´´Automatique et d´´Informatique Indutrielle, Poitiers

fYear

2005

fDate

28-31 Aug. 2005

Firstpage

102

Lastpage

107

Abstract

This paper is about a regularization method applied to a chemical process considered as a nonlinear system. The Volterra model is used to represent such a nonlinear system. Volterra kernels are expanded on generalized orthonormal function bases in order to provide a quite flexible and accurate model. Tikhonov´s regularization method, optimized on a sliding window, is then applied to the Volterra model in order to restore an unknown quantity from measurements of another quantity. Such an inverse method is then applied to a simulated pollutant oxidation process

Keywords

Volterra series; chemical variables control; inverse problems; nonlinear systems; oxidation; wastewater treatment; water pollution control; Tikhonov regularization method; Volterra kernels; Volterra model; atrazine oxidation process; chemical process regularization; generalized orthonormal function; inverse method; nonlinear system; optimized regularization method; pollutant oxidation process; sliding window; Chemical processes; Inverse problems; Kernel; Multidimensional systems; Nonlinear systems; Optimization methods; Oxidation; Particle measurements; Pollution measurement; Wastewater treatment;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

0-7803-9354-6

Type

conf

DOI

10.1109/CCA.2005.1507108

Filename

1507108