Experiences on Parameter and State Estimation of Microbial Growth Processes

Abstract This paper reports the study of some special problems arlslng in parameter and state estimation of microbial growth processes. Because of the special features of such processes, purpose-oriented methods were found to be most suitable for both parameter and state estimation. A method in which the parameters were adjusted manually with the help of sensitivity functions was us~d for parameter estimation. A recursive state-estimation algorithm for control purposes was developed, in which special attention is paid to the utilization of the age distribution dynamics of biomass for biomass growth estimation.