Takagi–Sugeno fuzzy-based approach for modeling and control of an activated sludge process

Wastewater treatment systems have recently taken on new trends resulting from the growing awareness of health and environmental risks. New strategies aimed at the recovery of treated water are increasingly being proposed. Given its better performance, biological treatment via an activated sludge pro...

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Veröffentlicht in:	International journal of dynamics and control Jg. 12; H. 8; S. 3123 - 3138
Hauptverfasser:	Arifi, Ali, Bouallègue, Soufiene
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2024 Springer Nature B.V
Schlagworte:	Activated sludge process Carbon Compensation Complexity Control Control algorithms Control and Systems Theory Control theory Controllers Design Dissolved oxygen Dynamical Systems Effluents Energy consumption Engineering Fuzzy sets Linear matrix inequalities Neural networks Nitrogen Objectives Optimization Robust control Simulation Sludge State space models Variables Vibration Wastewater treatment Activated sludge process Takagi–Sugeno fuzzy modeling Parallel distributed compensation Carbon removal Wastewater treatment systems Static output feedback control
ISSN:	2195-268X, 2195-2698
Online-Zugang:	Volltext
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