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Solid-state fementation processes are still hindered by reactor excessive heating due to growth of the microorganisms. To overcome this problem, the process must be controlled. Modeling and simulation may help the control development, and for this procedure parameter estimation is an important step. Not all parameters are always estimable, which lead us to an identifiability problem. In this work a parameter identifiability analysis is taken for a solid-state fermentation model with six state variables to evaluate the most important parameters set used in the model. The reduction from 17 to 10 parameters to be estimated in the model led to a better fitting of the model to the experimental data.

PARAMETER IDENTIFIABILITY METHOD BASED ON THE PARAMETER-OUTPUT SENSITIVITY MATRIX FOR A SOLID-STATE FERMENTATION PROCESS