State and parameter estimation in biotechnical batch reactors

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34 Citations (Scopus)

Abstract

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
Volume10
Issue number2
DOIs
Publication statusPublished - 2002

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Batch reactors
State Estimation
State estimation
Parameter estimation
Reactor
Batch
Parameter Estimation
Recursive Estimation
Beer
Wastewater Treatment
Time-varying Parameters
Fermentation
Perturbation Analysis
Decomposition Techniques
Singular Perturbation
Prior Knowledge
Wastewater
Decomposition
Model

Cite this

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State and parameter estimation in biotechnical batch reactors. / Keesman, K.J.

In: Control Engineering Practice, Vol. 10, No. 2, 2002, p. 219-225.

Research output: Contribution to journalArticleAcademicpeer-review

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