Comparisons of nonlinear estimators for wastewater treatment plants

Hamimi Fadziati Binti Abdul Wahab; Reza Katebi; Ramon Villanova

doi:10.1109/MED.2012.6265730

Comparisons of nonlinear estimators for wastewater treatment plants

Hamimi Fadziati Binti Abdul Wahab, Reza Katebi, Ramon Villanova

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

4 Citations (Scopus)

231 Downloads (Pure)

Abstract

This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF) that are formulated and implemented to estimate unmeasured states of a typical biological wastewater
system. The performance of these five estimators of different complexities, behaviour and advantages are demonstrated and compared via nonlinear simulations. This study shows promising application of UKF for monitoring and control of the process variables, which
are not directly measurable.

Original language	English
Title of host publication	Proceedings of the 20th Mediterranean Conference on Control & Automation (MED), 2012
Publisher	IEEE
Pages	764-769
Number of pages	6
ISBN (Print)	978-1-4673-2530-1
DOIs	https://doi.org/10.1109/MED.2012.6265730
Publication status	Published - 6 Jul 2012
Event	2012 20th Mediterranean Conference on Control & Automation (MED) - Bercelona, United Kingdom Duration: 3 Jul 2012 → 6 Jul 2012

Conference

Conference	2012 20th Mediterranean Conference on Control & Automation (MED)
Country/Territory	United Kingdom
City	Bercelona
Period	3/07/12 → 6/07/12

Keywords

nonlinear state estimation
wastewater systems
Kalman filter
H-infinity filter
state-dependent filter
unscented Kalman filter

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10.1109/MED.2012.6265730

Comparisons of Nonlinear Estimators for Wastewater Treatment PlantsFinal published version, 1.08 MB

Cite this

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title = "Comparisons of nonlinear estimators for wastewater treatment plants",

abstract = "This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF) that are formulated and implemented to estimate unmeasured states of a typical biological wastewater system. The performance of these five estimators of different complexities, behaviour and advantages are demonstrated and compared via nonlinear simulations. This study shows promising application of UKF for monitoring and control of the process variables, which are not directly measurable.",

keywords = "nonlinear state estimation, wastewater systems, Kalman filter, H-infinity filter, state-dependent filter, unscented Kalman filter",

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year = "2012",

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AU - Abdul Wahab, Hamimi Fadziati Binti

AU - Katebi, Reza

AU - Villanova, Ramon

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Y1 - 2012/7/6

N2 - This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF) that are formulated and implemented to estimate unmeasured states of a typical biological wastewater system. The performance of these five estimators of different complexities, behaviour and advantages are demonstrated and compared via nonlinear simulations. This study shows promising application of UKF for monitoring and control of the process variables, which are not directly measurable.

AB - This paper deals with five existing nonlinear estimators (filters), which include Extended Kalman Filter (EKF), Extended H-infinity Filter (EHF), State Dependent Filter (SDF), State Dependent H-Infinity Filter (SDHF) and Unscented Kalman Filter (UKF) that are formulated and implemented to estimate unmeasured states of a typical biological wastewater system. The performance of these five estimators of different complexities, behaviour and advantages are demonstrated and compared via nonlinear simulations. This study shows promising application of UKF for monitoring and control of the process variables, which are not directly measurable.

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KW - wastewater systems

KW - Kalman filter

KW - H-infinity filter

KW - state-dependent filter

KW - unscented Kalman filter

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SP - 764

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BT - Proceedings of the 20th Mediterranean Conference on Control & Automation (MED), 2012

PB - IEEE

T2 - 2012 20th Mediterranean Conference on Control & Automation (MED)

Y2 - 3 July 2012 through 6 July 2012

ER -

Comparisons of nonlinear estimators for wastewater treatment plants

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