The aim of this paper is to describe the state-of-the art computer-based techniques for data
analysis to improve operation of wastewater treatment plants. A comprehensive review of …

This paper presents the development and evaluation of three adaptive network fuzzy
inference system (ANFIS) models for a laboratory scale anaerobic digestion system outputs …

In this paper, the problem of designing an interval observer applied to a biohydrogen
production dark fermenter is addressed, in order to:(i) estimate the glucose and biomass …

The operation of anaerobic digestion (AD) has a strong dependence on reliable information
about the state variables and kinetic parameters. Such a dependence can lead the AD to …

In this paper, a fault diagnosis method for the basic process of microbial growth in
wastewater treatment based on interval estimation technology is proposed. First, a nonlinear …

A systematic approach to joint state and time-varying parameter estimation for nonlinear
systems is proposed in this paper. Applying the sector nonlinearity transformation to both the …

This paper investigates state and unknown input estimations in an Anaerobic Digestion
Reactor (ADR) considering a simple two-stage reaction model describing acidogenesis and …

This paper presents the development and evaluation of fuzzy multi-objective optimization for
decision-making that includes the process optimization of anaerobic digestion (AD) process …

Anaerobic digestion (AD) is being established as a standard technology to recover some of
the energy contained in the sludge in wastewater treatment plants (WWTPs) as biogas …

This paper presents the estimation of the unknown states and inputs of an anaerobic
digestion system characterized by a two-step reaction model. The estimation is based on the …