Comparisons of nonlinear estimators for wastewater treatment plants
Abdul Wahab, Hamimi Fadziati Binti and Katebi, Reza and Villanova, Ramon; (2012) Comparisons of nonlinear estimators for wastewater treatment plants. In: Proceedings of the 20th Mediterranean Conference on Control & Automation (MED), 2012. IEEE, GBR, pp. 764-769. ISBN 978-1-4673-2530-1 (https://doi.org/10.1109/MED.2012.6265730)
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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.
ORCID iDs
Abdul Wahab, Hamimi Fadziati Binti

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Item type: Book Section ID code: 42149 Dates: DateEvent6 July 2012PublishedKeywords: nonlinear state estimation, wastewater systems, Kalman filter, H-infinity filter, state-dependent filter, unscented Kalman filter, Electrical Engineering. Electronics Nuclear Engineering Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 21 Nov 2012 11:10 Last modified: 25 May 2023 08:10 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/42149