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        <identifier>oai:www.ideals.illinois.edu:2142/83850</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Beck, Carolyn</dc:contributor>
          <dc:creator>Lin, Hui-Hung</dc:creator>
          <dc:date>2015-09-25T21:12:27Z</dc:date>
          <dc:date>2015-09-25T21:12:27Z</dc:date>
          <dc:date>10000-01-01</dc:date>
          <dc:date>2006</dc:date>
          <dc:date>2006</dc:date>
          <dc:description>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.</dc:description>
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  Previous issue date: 2006</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 85131
Lift date: Forever
Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
          <dc:description>Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
          <dc:description>U of I Only</dc:description>
          <dc:description>170 p.</dc:description>
          <dc:description>Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006.</dc:description>
          <dc:identifier>http://hdl.handle.net/2142/83850</dc:identifier>
          <dc:identifier>(MiAaPQ)AAI3223655</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:subject>Health Sciences, Medicine and Surgery</dc:subject>
          <dc:title>Multivariable Modeling and Control of the Response to Anesthesia</dc:title>
          <dc:type>text</dc:type>
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            <department>Mechanical Engineering</department>
            <discipline>Mechanical Engineering</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
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