Self-optimizing control is a strategy for selecting controlled variables. It is distinguished by
the fact that an economic objective function is adopted as a selection criterion. The aim is to …

Polyvinyl alcohol (PVA) is an emerging pollutant commonly found in industrial wastewater,
owing to its extensive usage as an additive in the manufacturing industry. PVA's popularity …

In this paper, a novel dynamic optimization control based on multi-objective ant lion
optimization (DMOALO) and deep learning algorithm is proposed, which could optimize …

This study investigates an adaptive fuzzy neural network control system for the
multiobjective operation of wastewater treatment process (WWTP) with standard effluent …

Wastewater treatment process, including multiple biochemical reactions, is a complex
industrial process with strong nonlinearity and time-varying dynamics. It is a challenge to …

Wastewater treatment processes (WWTPs) have been considered as complex control
problems, because effluent water standard, stability and multioperational conditions need to …

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

In this work, we investigate the performance of nonlinear model predictive control (NMPC)
and moving horizon estimation (MHE) in a feedback control system subject to different …

Owing to high complexity and time-variant operation, as well as increasingly requirements
for water quality, stability, and reliability, the wastewater treatment process (WWTP) is …

Nonlinearity, uncertainties, and disturbances exist extensively in wastewater treatment
processes (WWTPs), which result in control performance degradation and critical instability …