Artificial intelligence and the supervision of bioprocesses (real-time knowledge-based systems and neural networks) View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1993

AUTHORS

M. Aynsley , A. Hofland , A. J. Morris , G. A. Montague , C. Di Massimo

ABSTRACT

The ability to supervise and control a highly non-linear and time variant bioprocess is of considerable importance to the biotechnological industries which are continually striving to obtain higher yields and improved uniformity of production. Two AI methodologies aimed at contributing to the overall intelligent monitoring and control of bioprocess operations are discussed. The development and application of a real-time knowledge-based system to provide supervisory control of fed-batch bioprocesses is reviewed. The system performs sensor validation, fault detection and diagnosis and incorporates relevant expertise and experience drawn from both bioprocess engineering and control engineering domains. A complementary approach, that of artificial neural networks is also addressed. The development of neural network modelling tools for use in bioprocess state estimation and inferential control are reviewed. An attractive characteristic of neural networks is that with the appropriate topology any non-linear functional relationship can be modelled, hence significantly reducing model-process mismatch. Results from industrial applications are presented. More... »

PAGES

1-27

References to SciGraph publications

  • 1989. Toward a Systematic Method for the Generalization of Fermentation Data in COMPUTER APPLICATIONS IN FERMENTATION TECHNOLOGY: MODELLING AND CONTROL OF BIOTECHNOLOGICAL PROCESSES
  • 1984. Estimation of biomass and secondary product in batch fermentation in ANALYSIS AND OPTIMIZATION OF SYSTEMS
  • 1989-12. Approximation by superpositions of a sigmoidal function in MATHEMATICS OF CONTROL, SIGNALS, AND SYSTEMS
  • 1989. Data Handling for Fermentation Development - An Industrial Approach in COMPUTER APPLICATIONS IN FERMENTATION TECHNOLOGY: MODELLING AND CONTROL OF BIOTECHNOLOGICAL PROCESSES
  • 1989. Reconciliation of Measurement Data in Fermentation Using On-line Expert System in COMPUTER APPLICATIONS IN FERMENTATION TECHNOLOGY: MODELLING AND CONTROL OF BIOTECHNOLOGICAL PROCESSES
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/bfb0007194

    DOI

    http://dx.doi.org/10.1007/bfb0007194

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037912409

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/8460575


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