In this paper, an intelligent control scheme for a class of anaerobic digester, for wastewater treatment, is proposed. The control scheme results from the combination of nonlinear output feedback control and a fuzzy-based gain scheduling scheme. Such a controller achieves the substrate regulation in the face of modeling errors (which are mainly related to the kinetic terms). In addition, the controller shows the capability of attenuating load disturbances and windup effects due to constraints at the manipulated input. Extensive simulations illustrate the performance of the proposed control scheme
The activated sludge process is a commonly used method for treating sewage and waste waters. It is c...
This paper deals with the design of adaptive nonlinear control algorithms of biological wastewater t...
: Biological processes are among the most challenging to predict and control. It has been recognised...
Abstract—In this paper, an intelligent control scheme for a class of anaerobic digester, for wastewa...
A dynamical output feedback control for the regulation of the chemical oxygen demand (COD) in anaero...
This paper deals with an application of the fuzzy approximate reasoning to the management and contro...
In this paper, a fuzzy control strategy (FCS) for an anaerobic wastewater treatment process is propo...
Abstract: This paper deals with the control of the anaerobic digestion process in a fluidized bed re...
ABSTRACT A control law based on fuzzy logic features was developed and validated for an anaerobic wa...
One of the goals of the EU-Project AMONCO (Advanced Prediction, Monitoring and Controlling of Anaero...
An integrated hybrid intelligent control strategy for an anaerobic digestion process is proposed in ...
The paper focused on the implementation of hybrid Interval Type-2 (IT2) Fuzzy with Generic Model Con...
The main objective of this work was to develop a controller for biogas production in continuous anae...
A linear feedforward/feedback approach is derived for an up-flow fixed bed anaerobic digester; which...
Abstract—The paper proposed to use a recurrent neural network model, and a real-time Levenberg-Marqu...
The activated sludge process is a commonly used method for treating sewage and waste waters. It is c...
This paper deals with the design of adaptive nonlinear control algorithms of biological wastewater t...
: Biological processes are among the most challenging to predict and control. It has been recognised...
Abstract—In this paper, an intelligent control scheme for a class of anaerobic digester, for wastewa...
A dynamical output feedback control for the regulation of the chemical oxygen demand (COD) in anaero...
This paper deals with an application of the fuzzy approximate reasoning to the management and contro...
In this paper, a fuzzy control strategy (FCS) for an anaerobic wastewater treatment process is propo...
Abstract: This paper deals with the control of the anaerobic digestion process in a fluidized bed re...
ABSTRACT A control law based on fuzzy logic features was developed and validated for an anaerobic wa...
One of the goals of the EU-Project AMONCO (Advanced Prediction, Monitoring and Controlling of Anaero...
An integrated hybrid intelligent control strategy for an anaerobic digestion process is proposed in ...
The paper focused on the implementation of hybrid Interval Type-2 (IT2) Fuzzy with Generic Model Con...
The main objective of this work was to develop a controller for biogas production in continuous anae...
A linear feedforward/feedback approach is derived for an up-flow fixed bed anaerobic digester; which...
Abstract—The paper proposed to use a recurrent neural network model, and a real-time Levenberg-Marqu...
The activated sludge process is a commonly used method for treating sewage and waste waters. It is c...
This paper deals with the design of adaptive nonlinear control algorithms of biological wastewater t...
: Biological processes are among the most challenging to predict and control. It has been recognised...