State and parameter estimation in biotechnical batch reactors

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37 Citations (Scopus)


In this paper the problem of state and parameter estimation in biotechnical batch reactors is considered. Models describing the biotechnical process behaviour are usually non-linear with time-varying parameters. Hence, the resulting large dimensions of the augmented state vector, roughly >7, in recursive estimation is a crucial problem. However, by decomposition techniques on the basis of singular perturbation analysis or batch phase analysis one is able to reduce the dimension of the augmented state vector. Furthermore, prior knowledge of parameters and initial states is essential. It is therefore shown how these initial values can be effectively obtained from the data. The approach will be demonstrated by two examples, a wastewater sludge treatment and a beer fermentation process, using real data
Original languageEnglish
Pages (from-to)219-225
JournalControl Engineering Practice
Issue number2
Publication statusPublished - 2002

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