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  <titleInfo>
    <title>Optimal and robust scheduling for networked control systems</title>
  </titleInfo>
  <name type="personal">
    <namePart>Longo, Stefano.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Su, Tingli.</namePart>
  </name>
  <name type="personal">
    <namePart>Herrmann, Guido.</namePart>
  </name>
  <name type="personal">
    <namePart>Barber, Phil.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <genre authority="lcsh">Electronic books.</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">flu</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Boca Raton, Fla</placeTerm>
    </place>
    <publisher>CRC Press, Taylor &amp; Francis Group</publisher>
    <dateIssued>[2013]</dateIssued>
    <dateIssued encoding="marc">2013</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <internetMediaType>application/PDF</internetMediaType>
    <extent>xxxi, 245 p. : ill.</extent>
  </physicalDescription>
  <abstract>"This book offers a tool for optimal/robust control system integration via communication networks. This work is shaped around examples and relevant standards of the automotive industry for those examples but the concepts are readily extendable to any application that uses deterministic communication protocols between system components (avionic systems, robots, etc.). The underlying idea is to use the rigorous tools from optimal and robust multivariable control theory to solve the industrial scheduling problem in a transparent manner"--</abstract>
  <tableOfContents>1. Introduction -- 2. Control of plants with limited communication -- 3. A general framework for NCS modeling -- 4. Controllability and observability -- 5. Communication sequence optimization -- 6. Optimal controller and schedule codesign -- 7. Optimal schedule design -- 8. Robust schedule design -- 9. Application to an automotive control system -- 10. Schedule design for nonlinear NCSs.</tableOfContents>
  <note type="statement of responsibility">Stefano Longo, Tingli Su, Guido Herrmann, Phil Barber.</note>
  <note>Includes bibliographical references (p. 231-242) and index.</note>
  <note>Also available in print edition.</note>
  <note>Mode of access: World Wide Web.</note>
  <subject authority="lcsh">
    <topic>Robust control</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Automatic control</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computer networks</topic>
  </subject>
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  <relatedItem type="series">
    <titleInfo>
      <title>Automation and control engineering series</title>
    </titleInfo>
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  <identifier type="isbn">9781466569553 (ebook : PDF)</identifier>
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