EXACT FUZZY OBSERVER FOR A BAKER'S YEAST FERMENTATION PROCESS

The purpose of this work is to design an exact fuzzy observer for a bioprocess switching between two different metabolic states. A continuous baker's yeast culture is divided in two sub-models: a respiro-fermentative with ethanol production and a respirative with ethanol consumption. An exact fuzzy observer model using sector nonlinearity was built for both nonlinear models; the observer gains were designed using Linear Matrix Inequalities (LMI's). The observer premise variables depend on the state variables estimated by the fuzzy observer.