An on-line advisory control system for the lactic acid fermentation process

Nakajima, Mikio; Numershs, C. von; Yada, Hideo; Siimes, T.; Pokkinen, Marjut; Endo, Itaru; Linko, P.

doi:10.1007/bf00902718

Cited by 10 publications

(2 citation statements)

References 31 publications

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“…Siimes et al (28) demonstrated the success of an object-oriented fuzzy expert system for on-line diagnosis and control of bio-processes. Nakajima et al (29) developed a general-purpose expert shell for diagnosis and control of bio-processes, and showed the utility biotechnologia of the system for on-line diagnosis and control, applying it to lactic acid fermentation for detection of seed inferiority.…”

Section: Construction and Application Of Expert Systemsmentioning

confidence: 99%

Computer Application in Bio-Process Engineering in Japan

Yoshida

1998

IFAC Proceedings Volumes

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Recent development of research conducted in Japan into computer applications in bio-pro cess engineering is summarized, specially focusing on the application of knowledge engineering approaches to bio-process control. The issues of methodological investigation, their applications in process development, and examples of industrial applications of expert systems, artificial biotechnologia 4 (47) '99 11ÓToshiomi Yoshida neural networks, fuzzy theory, and genetic algorithm are thoroughly reviewed, and some repre sentative recent works are introduced more extensively.

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Section: Construction and Application Of Expert Systemsmentioning

confidence: 99%

Computer Application in Bio-Process Engineering in Japan

Yoshida

1998

IFAC Proceedings Volumes

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“…Typical applications include control of the fed-batch Baker's yeast process [l], control of the lactic acid fermentation process [2), control of fed-batch cultivation of genetically engineered Escherichia coli [3], regulation of both glucose and ethanol content for improvement of cloned a-amylase gene expression in the fed-batch culture of Saccharomyces cerevisiae [4], control of glucose and glutamine concentrations during study of growth characteristics in fed-batch culture of hybridoma cells [ 5 ] , and supervisory control of glutamic acid production [6] to name a few.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic control of an unstable biological reactor

Inamdar

Chiu

1997

Chem Eng & Technol

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In the present work, we employ a fuzzy logic controller (FLC) to control the unstable state of a nonlinear biological reaction. The state variable vectors consist of cell density and substrate concentration. The dilution rate is used as a manipulated variable to control the reaction dynamics. An analytic form of FLC employing Zadeh AND logic along with Center of Mass defuzzification method is considered. Simulations reveal that for servo response test, the FLC shows satisfactory performance for natural unsteady states for which a conventional PI controller is known to fail. Further simulations also show that the FLC gives satisfactory regulatory response and is relatively insensitive to the deviations in model parameters.

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Fuzzy Control of Bioprocess

Honda

2011

Comprehensive Biotechnology

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An on-line advisory control system for the lactic acid fermentation process

Cited by 10 publications

References 31 publications

Computer Application in Bio-Process Engineering in Japan

Computer Application in Bio-Process Engineering in Japan

Fuzzy logic control of an unstable biological reactor

Fuzzy Control of Bioprocess

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