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Design of set-membership observers with partial measurements: application to the activated sludge wastewater treatment process
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DOI：10.1080/00207721.2026.2682443.png)
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Abstract
En 中文
In this paper, the data fusion set-membership observer is designed for activated sludge wastewater treatment process with partial measurements. First, a discrete-time Takagi-Sugeno (T-S) fuzzy model is established to characterise the activated sludge wastewater treatment process, effectively addressing its nonlinear characteristics. Second, the local set-membership observer is designed to achieve more accurate estimation results of biomass concentration and maintain the robustness of the observer. The estimated state intervals are iteratively calculated by employing zonotope method under unknown but bounded (UBB) disturbance. Third, an optimal fusion weight strategy is proposed to enhance estimation accuracy through effective integration of local observations. Finally, numerical simulations are performed to verify the analysis results presented.
Keywords:
Set-membership observer
wastewater treatment process
data fusion
zonotope
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