In this paper a set of fuzzy observers for anaerobic digestion is proposed to estimate
variables difficult to measure in a completely stirred tank reactor. First, a mathematical model …

In this paper, a reduced order neural observer (RONO) with a time-varying learning rate is
proposed. The proposed scheme is based on a discrete-time recurrent high order neural …

Sažetak In this paper, a fuzzy control strategy (FCS) for an anaerobic wastewater treatment
process is proposed in order to reject large disturbances on input substrate allowing a high …

In this paper, a recurrent high order neural observer (RHONO) for anaerobic processes is
proposed. The main objective is to estimate variables of methanogenesis: biomass …

This paper deals with the control of the anaerobic digestion process in a fluidized bed
reactor. The main idea is to develop a supervision mechanism which selects the most …

A new methodology to design fuzzy observers for anaerobic wastewater treatment plants is
introduced in this article. First, a general explanation of the anaerobic digestion in a …

This article deals with the design of a fuzzy control strategy for a fluidised bed reactor, which
is used for anaerobic wastewater treatment. This strategy is composed of a supervisor …

In this article, a Takagi-Sugeno fuzzy observer for the anaerobic digestion process in a
fluidized bed reactor is proposed. First, a general explanation of this bioprocess is …

This paper proposes a hybrid intelligent inverse optimal control for trajectory tracking based
on a neural observer and a fuzzy supervisor for an anaerobic digestion process, in order to …

In this paper, a recurrent neural networks observer for anaerobic processes is proposed; the
main objective is to estimate biomass, in a completely stirred tank reactor. The neural …