A real-time expert system shell for process control.

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dc.contributor.authorKang, Alan Montzy
dc.date.accessioned2018-10-30T08:52:28Z
dc.date.available2018-10-30T08:52:28Z
dc.date.issued1990
dc.descriptionA dissertation submitted to the Faculty of Engineering, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science in Engineeringen_ZA
dc.description.abstractA multi-layered expert system shell that specifically addresses real-time issues is designed and implemented. The architecture of this expert system shell supports the concepts of parallelism, concurrent computation and competitive reasoning in that it allows several alternatives to be explored simultaneously. An inference engine driven by a hybrid of forward and backward chanining methods is used to achieve real-time response, and certainty factors are used for uncertainty management. Real-time responsiveness is improved by allowing the coexistence of procedural and declarative knowledge within the same system. A test bed that was set up in order to investigate the performance of the implemented shell is described. It was found in the performance analysis that the proposed system meets the real-time requirements as specified in this research.en_ZA
dc.description.librarianAndrew Chakane 2018en_ZA
dc.identifier.urihttps://hdl.handle.net/10539/25920
dc.language.isoenen_ZA
dc.subjectExpert systems (Computer science)en_ZA
dc.subjectProcess control -- Computer programs.en_ZA
dc.subjectReal-time data processing.en_ZA
dc.subjectReal-time control.en_ZA
dc.titleA real-time expert system shell for process control.en_ZA
dc.typeThesisen_ZA
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