DocumentCode :
3586150
Title :
The extended Kalman filter for nonlinear system: Application to system of waste water treatment
Author :
Barhoumi, Amel ; Ladhari, Taoufik ; M´Sahli, Faouzi
Author_Institution :
ESIER, ENIM, Monastir, Tunisia
fYear :
2014
Firstpage :
445
Lastpage :
450
Abstract :
This paper addresses the estimation of non-measured states in waste water treatment process. Specifically, the extended Kalman filter has been investigated for this class of nonlinear systems. Of particular interest, it is shown that extended Kalman filter can be applied to estimate the states in our system and provide good estimations for the non-measurable states.
Keywords :
Kalman filters; environmental science computing; nonlinear filters; nonlinear systems; state estimation; wastewater treatment; extended Kalman filter; nonlinear system; nonmeasurable state estimation; wastewater treatment system; Biological system modeling; Biomass; Estimation; Kalman filters; Kinetic theory; Mathematical model; Microorganisms; extended Kalman filter; nonlinear systems; waste water treatment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on
Type :
conf
DOI :
10.1109/STA.2014.7086758
Filename :
7086758
Link To Document :
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