The problem of optimal profiles tracking control under uncertainties for a nonlinear fed-batch bioprocess is addressed in this paper. Based on the results reported by Pantano et al. [ Ind. Eng. Chem. Res. 2017, 56, 6043], this work aims to improve the control system response against parametric uncertainty and process disturbances. The methodology is simple and easy to implement, but with excellent results. The design parameters are optimized by a randomized Monte Carlo algorithm. Besides, demonstration of the tracking error convergence to zero when the system is subjected to uncertainties is included in the article. The control system performance is tested through simulations, showing the improvement achieved.Fil: Pantano, Maria Nadia. Cons...
Many biotechnological processes have optimal substrate concentrations where a maximum growth rate is...
bio)c trol s Next, it is illustrated how the obtained optimal profiles can be exploited in the chara...
The paper presents an optimal parametric sensitivity controller for estimation of a set of parameter...
This paper aims to solve the problem of tracking optimal profiles for a nonlinear multivariable fed-...
In this paper, a new alternative for profiles tracking control considering additive uncertainties is...
This paper proposes a new control law based on linear algebra. This technique allows nonlinear path ...
This paper aims to develop a simple but efficient control technique based on a linear algebra approa...
In this paper, a linear algebra-based controller design is proposed. This technique allows tracking,...
El objetivo de este trabajo es desarrollar una técnica de control simple pero eficiente, basada en u...
[EN] In this work, a closed-loop control strategy is proposed. It allows tracking optimal profiles f...
Based on a linear algebra approach, this paper aims at developing a novel control law able to track ...
En este trabajo se propone una estrategia de control en lazo cerrado para el seguimiento de perfiles...
Biological processes are becoming more frequent nowadays due to the wide variety of products obtaine...
La tesis está centrada en los biorreactores en "fed-batch", dada la importancia de estos reactores a...
The lack of online information on some bioprocess variables and the presence of model and parametric...
Many biotechnological processes have optimal substrate concentrations where a maximum growth rate is...
bio)c trol s Next, it is illustrated how the obtained optimal profiles can be exploited in the chara...
The paper presents an optimal parametric sensitivity controller for estimation of a set of parameter...
This paper aims to solve the problem of tracking optimal profiles for a nonlinear multivariable fed-...
In this paper, a new alternative for profiles tracking control considering additive uncertainties is...
This paper proposes a new control law based on linear algebra. This technique allows nonlinear path ...
This paper aims to develop a simple but efficient control technique based on a linear algebra approa...
In this paper, a linear algebra-based controller design is proposed. This technique allows tracking,...
El objetivo de este trabajo es desarrollar una técnica de control simple pero eficiente, basada en u...
[EN] In this work, a closed-loop control strategy is proposed. It allows tracking optimal profiles f...
Based on a linear algebra approach, this paper aims at developing a novel control law able to track ...
En este trabajo se propone una estrategia de control en lazo cerrado para el seguimiento de perfiles...
Biological processes are becoming more frequent nowadays due to the wide variety of products obtaine...
La tesis está centrada en los biorreactores en "fed-batch", dada la importancia de estos reactores a...
The lack of online information on some bioprocess variables and the presence of model and parametric...
Many biotechnological processes have optimal substrate concentrations where a maximum growth rate is...
bio)c trol s Next, it is illustrated how the obtained optimal profiles can be exploited in the chara...
The paper presents an optimal parametric sensitivity controller for estimation of a set of parameter...