{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/23584"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/23584","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A design methodology for self-tuning control of systems with inherent conflicts","abstract":"Outlined in this thesis is a methodology for the design of self-tuning controllers for systems with inherent control conflicts. These conflicts arise from either physical phenomena or user specifications. An intrinsic part of this methodology is the extensive collection and computer-aided incorporation of a priori information in the design process to enable realization of controllers of relatively simple structure and of low on-line computational requirements. Such simple solutions to complex problems are often overlooked when a priori information is unnecessarily neglected in some of the more mathematically elegant self-tuning algorithms proposed to date. Another intrinsic element of the methodology is the use of integral manifold and averaging techniques to simplify the analysis and design of self-tuning control of real processes. This serves not to confuse the design engineer, but to demonstrate the practical nature of some of the control theorist's tools.","abstract_html":"Outlined in this thesis is a methodology for the design of self-tuning controllers for systems with inherent control conflicts. These conflicts arise from either physical phenomena or user specifications. An intrinsic part of this methodology is the extensive collection and computer-aided incorporation of a priori information in the design process to enable realization of controllers of relatively simple structure and of low on-line computational requirements. Such simple solutions to complex problems are often overlooked when a priori information is unnecessarily neglected in some of the more mathematically elegant self-tuning algorithms proposed to date. Another intrinsic element of the methodology is the use of integral manifold and averaging techniques to simplify the analysis and design of self-tuning control of real processes. This serves not to confuse the design engineer, but to demonstrate the practical nature of some of the control theorist's tools.","abstract_has_math":false,"creators":["Hung, Stephen Think"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Engineering, Electronics and Electrical","degree_department":null,"school":null,"contributors":["Kokotovic, P.V."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T14:19:37Z","date_published":"2011-05-07T14:19:37Z","updated_at":"2026-07-22T22:25:22Z","subjects":["Engineering, Electronics and Electrical"],"languages":["eng"],"rights":["Copyright 1989 Hung, Stephen Think"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI8916265","(UMI)AAI8916265"],"render_values":[{"text":"AAI8916265","href":null,"code":true},{"text":"(UMI)AAI8916265","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/23584","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Kokotovic, P.V."]},{"key":"dc:creator","label":"Author","values":["Hung, Stephen Think"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T14:19:37Z","10000-01-01","1989"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Engineering, Electronics and Electrical"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Electronics and Electrical"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1989 Hung, Stephen Think"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["AAI8916265","(UMI)AAI8916265","http://hdl.handle.net/2142/23584"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Outlined in this thesis is a methodology for the design of self-tuning controllers for systems with inherent control conflicts. 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These conflicts arise from either physical phenomena or user specifications. An intrinsic part of this methodology is the extensive collection and computer-aided incorporation of a priori information in the design process to enable realization of controllers of relatively simple structure and of low on-line computational requirements. Such simple solutions to complex problems are often overlooked when a priori information is unnecessarily neglected in some of the more mathematically elegant self-tuning algorithms proposed to date. Another intrinsic element of the methodology is the use of integral manifold and averaging techniques to simplify the analysis and design of self-tuning control of real processes. This serves not to confuse the design engineer, but to demonstrate the practical nature of some of the control theorist's tools.","Made available in DSpace on 2011-05-07T14:19:37Z (GMT). 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