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        <identifier>oai:www.ideals.illinois.edu:2142/97683</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>Schutt-Ainé, José E.</dc:contributor>
          <dc:creator>Nguyen, Thong Nhu</dc:creator>
          <dc:date>2017-08-10T20:32:49Z</dc:date>
          <dc:date>2017-08-10T20:32:49Z</dc:date>
          <dc:date>2019-08-11T09:15:21Z</dc:date>
          <dc:date>2017-04-12</dc:date>
          <dc:date>2017-05</dc:date>
          <dc:description>Macro-modeling is important to protect intellectual property (IP) for manufacturers. With the current and growing complexity of modern electronics circuitry, algorithms that enable accurate and fast simulation are desirable. Vector fitting has been used in the industry for years for black-box macromodeling. Loewner matrix is newly introduced and appears to be a promisingalgorithm by its capability of handling systems with many ports. This work provides details about the Loewner matrix framework and its current development. Specifically, preparations of interpolation data for calculating Loewner matrices, and how to find the optimal order for the reducedorder model are discussed. Many numerical examples with measurement data will also be provided.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-05-01</dc:description>
          <dc:description>The student, Thong Nguyen, accepted the attached license on 2017-04-10 at 15:17.</dc:description>
          <dc:description>The student, Thong Nguyen, submitted this Thesis for approval on 2017-04-10 at 15:25.</dc:description>
          <dc:description>This Thesis was approved for publication on 2017-04-12 at 15:31.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #10685 on 2017-08-10 at 15:05:21</dc:description>
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NGUYEN-THESIS-2017.pdf: 2315519 bytes, checksum: a19404c826e9d8d4f855469e8539f97e (MD5)
LICENSE.txt: 4209 bytes, checksum: 97f7f02da52e5d11c61021ee6b5d2c09 (MD5)
  Previous issue date: 2017-04-12</dc:description>
          <dc:description>Embargo set by: Colleen Fallaw for item 102736
Lift date: 2019-08-10T21:27:21Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 102736 on 2019-08-11T09:15:21Z.</dc:description>
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          <dc:identifier>http://hdl.handle.net/2142/97683</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2017 Thong Nguyen</dc:rights>
          <dc:subject>Loewner matrix</dc:subject>
          <dc:subject>Macro-model</dc:subject>
          <dc:subject>Macro-modeling</dc:subject>
          <dc:subject>Black-box</dc:subject>
          <dc:subject>Behavioral simulation</dc:subject>
          <dc:title>System identification for black-box macro-modeling with Loewner matrix framework</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Electrical &amp; Computer Eng</department>
            <discipline>Electrical &amp; Computer Engr</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
          </degree>
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