Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation

Valorization of agro-industrial wastes for biorefinery process and circular bioeconomy: A critical review.

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Valorization of agro-industrial wastes for biorefinery process and circular bioeconomy: A critical review

Nonlinear model predictive control of fed-batch fermentations using dynamic flux balance models

Winery wastes as precursors of sustainable porous carbons for environmental applications

Based on a linear algebra approach, this paper aims at developing a novel control law able to track reference profiles that were previously-determined in the literature A main advantage of the proposed strategy is that the control actions are obtained by solving a system of linear equations The optimal controller parameters are selected through Monte Carlo Randomized Algorithm in order to minimize a proposed cost index The controller performance is evaluated through several tests, and compared with other controller reported in the literature Finally, a Monte Carlo Randomized Algorithm is conducted to assess the performance of the proposed controller

Tracking control of concentration profiles in a fed-batch bioreactor using a linear algebra methodology

Based on a linear algebra approach, this paper aims at developing a novel control law able to track reference profiles that were previously-determined to optimize the protein production in a fed-batch fermenter. A main advantage of the proposed strategy is that the control actions are obtained by solving a system of linear equations. The optimal controller parameters are selected through Monte Carlo Experiments in order to minimize a proposed cost index. The controller performance is evaluated through several tests, and compared with other controller reported in the literature.

Control of a Fed-Batch Fermenter Based on a Linear Algebra Strategy

Adsorption studies (kinetic, batch and dynamic assays) were carried out for lead removal from aqueous solutions using wastes from the wine industry. The adsorbents used were obtained from grape stalk and pomace#. These materials were carbonized, briquetted and activated with steam. Addition of a leaching step before activation lowered the high ash content of the materials. The products were characterized by elemental and proximate analysis, point of zero charge pH, specific surface area, pore-size distribution, Fourier transform infrared spectroscopy and surface acidic and basic groups. Considering the physicochemical and textural properties of the adsorbents, a comparative analysis of the results was made. These solids showed a marked basic character; therefore, the pH was a very important variable in adsorption tests, and thus it was necessary to maintain the pH in a favourable range. Batch equilibrium assays showed that the tested adsorbents had good adsorption capacities, better than the ones reported...

https://journals.sagepub.com/doi/pdf/10.1260/0263-6174.32.2-3.181

Batch and Column Studies for the Removal of Lead from Aqueous Solutions Using Activated Carbons from Viticultural Industry Wastes

This paper proposes a new control law based on linear algebra. This technique allows nonlinear path tracking in multivariable and complex systems. This new methodology consists in finding the control action to make the system follow predefined concentration profiles solving a system of linear equations. The controller parameters are selected with a Monte Carlo algorithm so as to minimize a previously defined cost index. The control scheme is applied to a fed-batch penicillin production process. Different tests are shown to prove the controller effectiveness, such as adding parametric uncertainty, perturbations in the control action and in the initial conditions. Moreover, a comparison with other controllers from the literature is made, showing the better performance of the present approach.

Santiago Romoli

Papers

Tracking control of concentration profiles in a fed-batch bioreactor using a linear algebra methodology

Control of a Fed-Batch Fermenter Based on a Linear Algebra Strategy

Batch and Column Studies for the Removal of Lead from Aqueous Solutions Using Activated Carbons from Viticultural Industry Wastes

A New Approach for Nonlinear Multivariable Fed-Batch Bioprocess Trajectory Tracking Control

Nonlinear control of the dissolved oxygen concentration integrated with a biomass estimator for production of Bacillus thuringiensis δ-endotoxins