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        <identifier>oai:www.ideals.illinois.edu:2142/18894</identifier>
        <datestamp>2023-07-10</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>Packard, Norman H.</dc:contributor>
          <dc:creator>Shermer, Russel Duane</dc:creator>
          <dc:date>2011-04-27T16:32:24Z</dc:date>
          <dc:date>2011-04-27T16:32:24Z</dc:date>
          <dc:date>10000-01-01</dc:date>
          <dc:date>1991</dc:date>
          <dc:description>We extend a new method of control, model-based control, to the realm of partial differential equations.
The hallmark of model-based control is that a particular goal dynamics is achieved by using a model
for the observed dynamics to create the appropriate driving needed to make the goal dynamics an
attractor for the system, alleviating the need for constant feedback, as is necessary with traditional
control methods.
First an introduction to general control methods is given, followed by a detailed explanation of
model-based control. A general convergence analysis is presented for the purpose of establishing the
criteria necessary for successful control. We investigate model-based control analytically for several
classes of partial differential equations and use computer simulations to explore systems beyond analytic
tractability such as the Burgers and the N avier-Stokes equations. With the Burgers equation a systematic
investigation into the control behavior was conducted with particular attention to sensitivity of the
control to model inaccuracies, boundary errors, and noise. For the Navier-Stokes equations some simple
tests are conducted for the purpose of demonstrating the viability of the control method for spatially
complex systems. Additionally, the idea of simplifying the application of the driving force is discussed
and illustrated with examples.</dc:description>
          <dc:description>Submitted by Carolyn Mead (cmead2@illinois.edu) on 2011-04-27T16:32:24Z
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  Previous issue date: 1991</dc:description>
          <dc:description>Restriction data tranferred 2014-07-01T11:12:19-05:00
Original Data
Group with Access UIUC Users [automated]
Release Date: none
Reason: Thesis</dc:description>
          <dc:description>Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Carolyn Mead (cmead2@illinois.edu) on 2011-04-27T16:32:24Z
Item is restricted indefinitely.</dc:description>
          <dc:description>Thesis</dc:description>
          <dc:description>U of I Only</dc:description>
          <dc:identifier>3478201</dc:identifier>
          <dc:identifier>http://hdl.handle.net/2142/18894</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>1991 Russel Duane Shermer</dc:rights>
          <dc:subject>model-based control</dc:subject>
          <dc:subject>spatially extended systems</dc:subject>
          <dc:subject>partial differential equations</dc:subject>
          <dc:subject>dynamics</dc:subject>
          <dc:title>Model-based control of spatially extended systems</dc:title>
          <dc:type>Dissertation / Thesis</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Physics</department>
            <discipline>Physics</discipline>
            <disciplineCode>University of Illinois at Urbana-Champaign</disciplineCode>
            <level>Dissertation</level>
            <name>Ph.D.</name>
          </degree>
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