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Journal ArticleDOI

Nonlinear multivariable tracking control: application to an ethanol process

TLDR
In this article, a controller based on linear algebra for a fed-batch ethanol production process is proposed, which involves finding feed rate profiles (control actions obtained as a linear equations system solution) in order to make the system follow predefined concentration profiles.
Abstract
In this paper, a controller based on linear algebra for a fed-batch ethanol production process is proposed. It involves finding feed rate profiles (control actions obtained as a linear equations system solution) in order to make the system follow predefined concentration profiles. A Monte Carlo experiment is used for controller tuning. Moreover, several tests (adding parametric uncertainty, perturbations in the control action and in the initial conditions) are carried out so as to evaluate the controller performance. A comparison with other controller is made and the demonstration of the error convergence is included.

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Journal ArticleDOI

Multivariable Tracking Control of a Bioethanol Process under Uncertainties

TL;DR: To reduce the earlier mentioned uncertainties’ effect during the fermentation, some tracking error integrators are added in the control action calculation to ensure the tracking error convergence to zero, even in the presence of uncertainties.
Journal ArticleDOI

Open-Loop Dynamic Optimization for Nonlinear Multi-Input Systems. Application to Recombinant Protein Production

TL;DR: A novel strategy for dynamic open-loop optimization of multivariable nonlinear systems based on the Fourier series and orthonormal polynomials for the control vector parameterization in a sequential direct solution approach is proposed.
Journal ArticleDOI

Optimización dinámica basada en Fourier. Aplicación al proceso de biodiesel

TL;DR: This paper present a novedosa metodologia for optimizacion dinamica del proceso de produccion de biodiesel a partir de aceites vegetales in modo discontinuo.
Journal ArticleDOI

Additive Uncertainty Consideration for Nonlinear and Multivariable Bioprocess Control

TL;DR: Two possibilities of improvement for a previously presented technique are proposed, an approach based on the error estimation using Newtons backward interpolation is included in the design equations to decrease the uncertainties effect and some tracking error integrators are added in the control action calculation.
Journal ArticleDOI

Nonlinear Control for Bioprocesses with Model Uncertainties and External Disturbances

TL;DR: A new alternative for profiles tracking control considering additive uncertainties is proposed, and an approach based on the error estimation using Newton's backward interpolation is included in the design equations to decrease the uncertainties effect.
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