Estimation states and covariance of the process noise for cell retention process

In the present work the use of extended kalman filter EKF to infer the outlet compositions and growth rate of the acetone -ethanol fermentation process from outlet gas CO2 measurement have been discussed in order to tune the filter Q matrix different methods consist of trial and error loan fotopoulos modified fotopoulos and continuous case have been investigated for process noise covariance matrix the reliability of the developed estimator is discussed with respect to disturbance on CO2 concentration the performance of the estimator has been evaluated by comparison with other filters such as wiener and linearized kalman filter as well as simulation and experimental results.