Nonlinear state estimation is an active research area, particularly to address monitoring and control problems in continuous processes. Recently, literature evidenced that bioproduction of chemicals and pharmaceuticals, which usually employs batch manufacturing, can have significant product quality and financial benefits when using continuous mode. In this paper, the geometric approach is used to address the estimation problem of a bioreactor for ethanol production. The work is based on a detailed model reported in the literature, hereafter considered as the virtual plant. The main objective is to compare different estimation solutions depending on the available measurements and the characteristics of the considered sensors
International audienceThe nonlinearity of the biotechnological processes and the absence of cheap an...
In this chapter, some state estimation schemes used in bioprocesses engineering are firstly reviewed...
A simple nonlinear robust regulator is applied to track a singular optimal reference signal derived ...
Nonlinear state estimation is an active research area, particularly to address monitoring and contro...
In this work, a systematic approach based on the geometric observer is proposed to design a model-ba...
A state estimation scheme is proposed for a fermentation process carried out in a fluidized bed bior...
It is acknowledged that to significantly improve biochemical system performance control should be im...
Abstract: This work presents several issues concerning the modelling, kinetic estimation and nonline...
International audienceIn this paper, we propose simple nonlinear observer-based estimators for the o...
The measurement or estimation of bioprocess states is critical for process control and optimization ...
Biomass, substrate or metabolite concentrations are difficult to measure online in fermentation proc...
This paper proposes a robust nonlinear observer for bioreactors combining the classical asymptotic o...
Zymomonas mobilis continuous fermentation bioprocess has the ability of producing energy from glucos...
International audienceThis paper deals with the simultaneous estimation of states and unknown inputs...
Estimation and control of non-linear variables in a continuous fermentation process using sliding mo...
International audienceThe nonlinearity of the biotechnological processes and the absence of cheap an...
In this chapter, some state estimation schemes used in bioprocesses engineering are firstly reviewed...
A simple nonlinear robust regulator is applied to track a singular optimal reference signal derived ...
Nonlinear state estimation is an active research area, particularly to address monitoring and contro...
In this work, a systematic approach based on the geometric observer is proposed to design a model-ba...
A state estimation scheme is proposed for a fermentation process carried out in a fluidized bed bior...
It is acknowledged that to significantly improve biochemical system performance control should be im...
Abstract: This work presents several issues concerning the modelling, kinetic estimation and nonline...
International audienceIn this paper, we propose simple nonlinear observer-based estimators for the o...
The measurement or estimation of bioprocess states is critical for process control and optimization ...
Biomass, substrate or metabolite concentrations are difficult to measure online in fermentation proc...
This paper proposes a robust nonlinear observer for bioreactors combining the classical asymptotic o...
Zymomonas mobilis continuous fermentation bioprocess has the ability of producing energy from glucos...
International audienceThis paper deals with the simultaneous estimation of states and unknown inputs...
Estimation and control of non-linear variables in a continuous fermentation process using sliding mo...
International audienceThe nonlinearity of the biotechnological processes and the absence of cheap an...
In this chapter, some state estimation schemes used in bioprocesses engineering are firstly reviewed...
A simple nonlinear robust regulator is applied to track a singular optimal reference signal derived ...