Activated sludge wastewater treatment processes are difficult to be controlled because of
their complex and nonlinear behavior, however, the control of the dissolved oxygen level in …

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

The paper proposes an approach to designing the control structure and algorithms for
optimising control of integrated wastewater treatment plant-sewer systems (IWWTS) under a …

A dynamic multi-objective optimization control (DMOOC) scheme is proposed in this paper
for the wastewater treatment process (WWTP), which can dynamically optimize the set …

This paper addresses the implementation of economic-oriented model predictive controllers
for the dynamic real-time optimization of the operation of wastewater treatment plants …

The objective of this paper is to demonstrate the importance of incorporating more realistic
energy cost models (based on current energy tariff structures) into existing water resource …

Being an optimizing technology, model predictive control (MPC) can now be found in a wide
variety of application fields. The main and most obvious control goal to be achieved in a …

The consistent modelling methodology for secondary settling tanks (SSTs) leads to a partial
differential equation (PDE) of nonlinear convection–diffusion type as a one-dimensional …

A nonlinear multiobjective model-predictive control (NMMPC) scheme, consisting of self-
organizing radial basis function (SORBF) neural network prediction and multiobjective …

Bioremediation is a process that uses microorganisms or their enzymes to remove pollutants
from the environment. Generally, bioremediation technologies can be classified as in situ or …