Add to ORKGThe optimization problem of a fed-batch alcoholic fermentation by Zymomonas mobilis, solved using Pontryagin's maximum principle and the singular control theory, is used to discuss the main challenges that usually arise during the implementation of optimal strategies. For each problem a practical solution is proposed. In order to solve the optimization problem, a hybrid neural model is developed using experimental data from batch and fed-batch fermentations. The calculated optimal solution is experimentally implemented in open-loop scheme
Production of high-content fructo-oligosaccharides by fermentation in a fed-batch bioreactor is cons...
The optimization problem for fed-batch fermentation is formulated in a framework which allows compar...
Differential Evolution (DE), an exceptionally simple and robust evolutionary algorithm with Lagrangi...
In this work a hybrid neural modelling methodology, which combines mass balance equations with funct...
An algorithm using feedforward neural network model for determining optimal substrate feeding polici...
In this work a hybrid neural modelling methodology, which combines mass balance equations with funct...
The optimization of the feeding trajectories in fed-batch fermentation processes is a complex proble...
In this work, Evolutionary Algorithms (EAs) are used to achieve optimal feedforward control in a rec...
This work focuses on the process operation aspects using model-based optimization of an continuous a...
A novel algorithm for solving nonlinear discrete time optimal control problems with model-reality di...
In this work, Evolutionary Algorithms (EAs) are used to control a recombinant bacterial fed-batch fe...
This paper discusses the development of constrained optimization strategies for a fed-batch penicill...
This paper presents a unifying methodology for optimization of biotechnological processes, namely op...
A systematic approach to cycle-to-cycle optimization of fed-batch cultures for determining the optim...
In this paper is developed an optimal control of fermentation process of L-lysine produc-tion with t...
Production of high-content fructo-oligosaccharides by fermentation in a fed-batch bioreactor is cons...
The optimization problem for fed-batch fermentation is formulated in a framework which allows compar...
Differential Evolution (DE), an exceptionally simple and robust evolutionary algorithm with Lagrangi...
In this work a hybrid neural modelling methodology, which combines mass balance equations with funct...
An algorithm using feedforward neural network model for determining optimal substrate feeding polici...
In this work a hybrid neural modelling methodology, which combines mass balance equations with funct...
The optimization of the feeding trajectories in fed-batch fermentation processes is a complex proble...
In this work, Evolutionary Algorithms (EAs) are used to achieve optimal feedforward control in a rec...
This work focuses on the process operation aspects using model-based optimization of an continuous a...
A novel algorithm for solving nonlinear discrete time optimal control problems with model-reality di...
In this work, Evolutionary Algorithms (EAs) are used to control a recombinant bacterial fed-batch fe...
This paper discusses the development of constrained optimization strategies for a fed-batch penicill...
This paper presents a unifying methodology for optimization of biotechnological processes, namely op...
A systematic approach to cycle-to-cycle optimization of fed-batch cultures for determining the optim...
In this paper is developed an optimal control of fermentation process of L-lysine produc-tion with t...
Production of high-content fructo-oligosaccharides by fermentation in a fed-batch bioreactor is cons...
The optimization problem for fed-batch fermentation is formulated in a framework which allows compar...
Differential Evolution (DE), an exceptionally simple and robust evolutionary algorithm with Lagrangi...