{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/83850"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/83850","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Multivariable Modeling and Control of the Response to Anesthesia","abstract":"To address these shortcomings, this dissertation proposes the use of piecewise-linear multivariable models of the effects of anesthetic and stimuli inputs on patient vital signs. These models are developed by utilizing data-based system identification methods. Different model structures such as linear time invariant (LTI), piecewise linear switching and parameter-varying, are investigated and verified. Robust gain scheduled controllers are constructed and simulated using a linear parameter varying (LPV) framework. The use of multivariable state-space models for patient modeling is novel in this research area, as is the proposed use of piecewise-linear models. The modeling results indicate that the proposed piecewise-linear models yield improved simulation responses over traditional PK-PD models, in comparisons made with respect to single-output effects. Further, individual models may provide reasonable central models in the sense that simulated output responses obtained by applying the input data set for one volunteer to the piecewise-linear models for other volunteers produces an acceptable fit to the output data for the first volunteer. Similar results are found for our constructed individual controllers when applied as a generic controller for other volunteer data.","abstract_html":"To address these shortcomings, this dissertation proposes the use of piecewise-linear multivariable models of the effects of anesthetic and stimuli inputs on patient vital signs. These models are developed by utilizing data-based system identification methods. Different model structures such as linear time invariant (LTI), piecewise linear switching and parameter-varying, are investigated and verified. Robust gain scheduled controllers are constructed and simulated using a linear parameter varying (LPV) framework. The use of multivariable state-space models for patient modeling is novel in this research area, as is the proposed use of piecewise-linear models. The modeling results indicate that the proposed piecewise-linear models yield improved simulation responses over traditional PK-PD models, in comparisons made with respect to single-output effects. Further, individual models may provide reasonable central models in the sense that simulated output responses obtained by applying the input data set for one volunteer to the piecewise-linear models for other volunteers produces an acceptable fit to the output data for the first volunteer. Similar results are found for our constructed individual controllers when applied as a generic controller for other volunteer data.","abstract_has_math":false,"creators":["Lin, Hui-Hung"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Mechanical Engineering","degree_department":null,"school":null,"contributors":["Beck, Carolyn"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T21:12:27Z","date_published":"2015-09-25T21:12:27Z","updated_at":"2026-07-22T22:26:22Z","subjects":["Health Sciences, Medicine and Surgery"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3223655"],"render_values":[{"text":"(MiAaPQ)AAI3223655","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/83850","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Beck, Carolyn"]},{"key":"dc:creator","label":"Author","values":["Lin, Hui-Hung"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T21:12:27Z","10000-01-01","2006"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Mechanical Engineering"]},{"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":["Health Sciences, Medicine and Surgery"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/83850","(MiAaPQ)AAI3223655"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["To address these shortcomings, this dissertation proposes the use of piecewise-linear multivariable models of the effects of anesthetic and stimuli inputs on patient vital signs. 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Similar results are found for our constructed individual controllers when applied as a generic controller for other volunteer data.","Made available in DSpace on 2015-09-25T21:12:27Z (GMT). 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