Computational intelligence methods for process control: fed-batch fermentation application. (4th January 2010)

• Record Type: Journal Article
• Authors: Riid, Andri; Rustern, Ennu
• Is Part Of: International journal of computational intelligence in bioinformatics and systems biology. Volume 1:Number 2 (2009)
• Page Start: 135
• Page End: 162
• Publication Date: 2010-01-04
• Subjects: optimisation -- process control -- fermentation processes -- linguistic inversion -- evolutionary computation -- computational intelligence -- fuzzy linguistic rules -- productivity measures; Bioinformatics -- Periodicals; Computational intelligence -- Periodicals; Systems biology -- Periodicals; 572.8028563
• Languages: English
• ISSNs: 1755-8034

Abstract

In current study, the ability of computational intelligence methods to tackle modern control problems is under observation. In particular, two computational intelligence techniques belonging to different algorithm families are reviewed, refined and applied to a benchmark fed-batch fermentation process – a linguistic inversion method that designs the controller through automated analysis of information encapsulated in fuzzy linguistic rules of the process model and an evolutionary computation approach that complements its search capabilities with a human critic that guides the optimisation process. The results in terms of productivity measures that compare very favourably to reported results available from literature strongly suggest that in conditions (i.e. presence of noise, parameter variation and randomness) that resemble real-life situations, approximate techniques have an edge over more or less conventional optimisation methods as being more robust and more effective in knowledge discovery.