Composition control of a binary distillation column using multivariable optimal control

The non-linear MIMO predictive controller developed in this work used FLNs as internal models and was applied to control the extractive alcoholic fermentation process.. By solving

( F , G ) In BMI-Of sessions, the pre-ictal theta frequency signal was a good predictor of seizure duration, however during BMI-On sessions, DCS speciically disrupted this

The reduction in the drawn energy leads to the decreasing of the energy expenditure.The main features of the proposed optimal control law are: the solution of control is

Based on the obtained linear mathematical model the quadratic optimal control is designed in order to maintain the lateral stability of the electric vehicle.. The numerical

O grupo EDUCIM – Educação em Ciências e Matemática – foi criado em 2002 com o objetivo de discutir as pesquisas relacionadas às dissertações e, posteriormente, às

The controlled variable has been selected as isopropyl acetate composition in the organic phase in decanter having distillate as the feed rate and the manipulated variable as

A PSO-based artificial neural network has been proposed as an intelligent prediction approach to estimate product compositions of a binary distillation column; boil-up and reflux

Taking into account the real-time optimization of membership functions with the best weights given by trained neural network, the best settling time and rise time values are