Cecilia Fernández, M. Nadia Pantano, M. Rossomando, Francisco G. Alberto Ortiz, O. Scaglia, Gustavo J. E. STATE ESTIMATION AND TRAJECTORY TRACKING CONTROL FOR A NONLINEAR AND MULTIVARIABLE BIOETHANOL PRODUCTION SYSTEM <div><p>ABSTRACT In this paper a controller is proposed based on linear algebra for a fed-batch bioethanol production process. It involves finding feed rate profiles (control actions obtained as a solution of a linear equations system) in order to make the system follow predefined concentration profiles. A neural network states estimation is designed in order to know those variables that cannot be measured. The controller is tuned using a Monte Carlo experiment for which a cost function that penalizes tracking errors is defined. Moreover, several tests (adding parametric uncertainty and perturbations in the control action) are carried out so as to evaluate the controller performance. A comparison with another controller is made. The demonstration of the error convergence, as well as the stability analysis of the neural network, are included.</p></div> Fed-batch bioprocess;Nonlinear and multivariable system;Profiles tracking control;Numerical methods/linear algebra;State estimation 2019-07-24
    https://scielo.figshare.com/articles/dataset/STATE_ESTIMATION_AND_TRAJECTORY_TRACKING_CONTROL_FOR_A_NONLINEAR_AND_MULTIVARIABLE_BIOETHANOL_PRODUCTION_SYSTEM/8986979
10.6084/m9.figshare.8986979.v1