Abstract
Abstract This paper describes the construction, implementation and verification of a knowledge based control system for the regulation of an industrial fermentation process. The motivation for control improvements is presented and justification considered. The KAT knowledge elicitation method was used in an attempt to capture the control system rule set. Algorithmic methods for rule determination were also employed for two purposes: comparison with the KAT technique and subsequently to ascertain the extent of adherence to the rule based control. The industrial benefits arising from this integrated system include: reduced variability, increase mean performance levels, reduced operator training time and knowledge management in the broader organisation
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
