Adaptive linearizing control of bioreactors

Ferreira, Eugénio C.; Azevedo, S. Feyo de

doi:10.1049/cp:19960721

Cited by 4 publications

(1 citation statement)

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“…The latter algorithm was shown to exhibit better performance in simulation studies using simple microbial growth process and an anaerobic digestion process. Developments in synthesis of SISO and MIMO adaptive linearizing algorithms for bioreactors were presented and illustrated through application to baker's yeast fermentation process [26]. An adaptive algorithm was proposed which enforces a desired and preset second-order convergence dynamics and provides the user with the choice of two simple and intuitive tuning parameters.…”

Section: Linearization-based Approachesmentioning

confidence: 99%

Control of fermenters – a review

Rani¹,

Rao²

1999

Bioprocess Engineering

135

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Fermenter control has been an active area of research and has attracted more attention in recent years. This is due to the new developments in other related areas which can be exploited to overcome the inherent dif®-culties in fermenter control. Beginning with conventional regulatory control of operating variables such as temperature, pH and dissolved oxygen concentration, research in fermenter control has undergone signi®cant changes including the recent neural network based approaches. The objective of the paper is to focus the attention of the researchers to the developments in the control of batch, fedbatch and continuous fermenters over the past few years.

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Section: Linearization-based Approachesmentioning

confidence: 99%