{"id":{"repo_id":"vu-aus","oai_identifier":"oai:eprints.vu.edu.au:15356"},"canonical_url":"https://search.dev.ndltd.org/etd/vu-aus/oai:eprints.vu.edu.au:15356","repository":{"repo_id":"vu-aus","name":"Victoria University (Australia)","base_url":"https://vuir.vu.edu.au/cgi/oai2"},"display":{"title":"Development and implementation of a methodology for fuzzy logic controller design","abstract":"The thesis is devoted to development of the methodology of fuzzy logic controller design and implementation. The thesis introduces a universal fuzzy logic controller structure. The structure proposed combines three main functions and two support functions. The support functions are implementing novel fuzzy logic concepts developed and used in this work. These concepts represent the plant and the controller states during the operation time. The main functions consist of a main fuzzy logic controller refered to as Main-FLC where the initial knowledge about the system is stored. The second main function considers the phase and amplitude of the final control signal. It is called Shay-PA and it implements an implicit on-line tuning and adaptation of the Main-FLC membership functions and rules. The third main function is called Shay-Time and is concerned with the input and output ranges of the Main-FLC. An adaptation mechanism is implemented for on-line updating of the Main-FLC ranges. Both the support and the main functions operate in conjunction with each other. The decision mechanism implemented in the overall structure is designed with the goals of robustness and reusability in mind.","abstract_html":"The thesis is devoted to development of the methodology of fuzzy logic controller design and implementation. The thesis introduces a universal fuzzy logic controller structure. The structure proposed combines three main functions and two support functions. The support functions are implementing novel fuzzy logic concepts developed and used in this work. These concepts represent the plant and the controller states during the operation time. The main functions consist of a main fuzzy logic controller refered to as Main-FLC where the initial knowledge about the system is stored. The second main function considers the phase and amplitude of the final control signal. It is called Shay-PA and it implements an implicit on-line tuning and adaptation of the Main-FLC membership functions and rules. The third main function is called Shay-Time and is concerned with the input and output ranges of the Main-FLC. An adaptation mechanism is implemented for on-line updating of the Main-FLC ranges. Both the support and the main functions operate in conjunction with each other. The decision mechanism implemented in the overall structure is designed with the goals of robustness and reusability in mind.","abstract_has_math":false,"creators":["Ghanayem, Omar Hussien"],"institution":"Victoria University of Technology","degree_name":"phd","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1997,"date_issued":"1997","date_published":"1997","updated_at":"2026-07-24T06:33:09Z","subjects":["0906 Electrical and Electronic Engineering","School of Engineering and Science"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Ghanayem, Omar Hussien"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["1997"]},{"key":"dc:date.issued","label":"Date","values":["1997"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Electrical and Electronic Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["Victoria University of Technology"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://vuir.vu.edu.au/15356/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["phd"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["0906 Electrical and Electronic Engineering","School of Engineering and Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://vuir.vu.edu.au/15356/8/GHANAYEM%20Omar-thesis_nosignature.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The thesis is devoted to development of the methodology of fuzzy logic controller design and implementation. The thesis introduces a universal fuzzy logic controller structure. The structure proposed combines three main functions and two support functions. The support functions are implementing novel fuzzy logic concepts developed and used in this work. These concepts represent the plant and the controller states during the operation time. The main functions consist of a main fuzzy logic controller refered to as Main-FLC where the initial knowledge about the system is stored. The second main function considers the phase and amplitude of the final control signal. It is called Shay-PA and it implements an implicit on-line tuning and adaptation of the Main-FLC membership functions and rules. The third main function is called Shay-Time and is concerned with the input and output ranges of the Main-FLC. An adaptation mechanism is implemented for on-line updating of the Main-FLC ranges. Both the support and the main functions operate in conjunction with each other. The decision mechanism implemented in the overall structure is designed with the goals of robustness and reusability in mind."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Development and implementation of a methodology for fuzzy logic controller design"]}]}],"canonical_facts":{"dc:creator":["Ghanayem, Omar Hussien"],"dc:date":["1997"],"dc:date.issued":["1997"],"dc:description.abstract":["The thesis is devoted to development of the methodology of fuzzy logic controller design and implementation. The thesis introduces a universal fuzzy logic controller structure. The structure proposed combines three main functions and two support functions. The support functions are implementing novel fuzzy logic concepts developed and used in this work. These concepts represent the plant and the controller states during the operation time. 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