| Key Words |
Model-based software sensors; biotechnological processes; kinetics estimation |
| Abstract |
A new method for monitoring of bioprocess kinetics is developed where there exists a set of measured variables but the use of constant values of kinetic parameters is not acceptable. The method is based on new formalization of kinetics of biotechnological processes. It is generalized in one vector including unknown time-varying parameters only. For kinetics estimation, a general structure of software sensor is presented. A optimization procedure for tuning of the sensor’s parameters is proposed on the basis of stability and convergence analysis. The proposed method is applied for monitoring of bioprocesses for gluconic acid, alphaamylase and ethanol production |
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