During the last years, machine learning-based control and optimization systems are playing
an important role in the operation of wastewater treatment plants in terms of reduced …

The successful operation of wastewater treatment plants involves many uncertain factors.
Not only the physical and chemical properties of wastewater streams but also the complexity …

Recent studies into the estimation and control of an activated sludge process (ASP) at a
wastewater treatment plant suggest that artificial-intelligence methods, such as neural …

Two separate goals should be jointly pursued in wastewater treatment: nutrient removal and
energy conservation. An efficient controller performance should cope with process …

Wastewater Treatment Plants (WWTPs) are facilities devoted to managing and reducing the
pollutant concentrations present in the urban residual waters. Some of them consist in …

One of the main problems in the automation of the control of wastewater treatment plants
(WWTPs) appears when the control system does not respond as it should because of …

Conclusions The approach used allows a complete control of plants and, when necessary,
also an instinctive control. It is possible and easy to adapt the intelligent system to similar …

Smart systems can be appropriately coordinated in industries to monitor and control the
performance of wastewater treatment plants to regulate their pollutant discharge levels …

This paper introduces an anaerobic digestion identification and control scheme, based on
adaptive, on-line trained neural networks. Anaerobic digestion is a complex, nonlinear …

With growing urban areas and industrial development, the requirements for wastewater
treatment plants are increasing. Modeling of wastewater treatment plants allows to …