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  <titleInfo>
    <title>Filter design for system modeling, state estimation and fault diagnosis</title>
  </titleInfo>
  <name type="personal">
    <namePart>Wang, Ziyun</namePart>
    <namePart type="date">1989-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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    <role>
      <roleTerm type="text">author.</roleTerm>
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  <name type="personal">
    <namePart>Wang, Yan</namePart>
    <namePart type="date">1978-</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Ji, Zhicheng</namePart>
    <namePart type="date">1959-</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
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  <typeOfResource>text</typeOfResource>
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  <originInfo>
    <place>
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    <dateIssued encoding="marc">2023</dateIssued>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>1 online resource</extent>
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  <abstract>"This book analyzes the latest methods in the design of filters for system modeling, state estimation and fault detection with the intention of providing a new perspective of both theoretical and practical aspects. The book also includes fault diagnosis techniques for unknown but bounded systems, their real applications on modeling and fault diagnosis for lithium battery systems, DC-DC converters, and spring damping systems. It proposes new methods based on zonotopic Kalman filtering, a variety of state estimation methods of zonotope and its derived algorithms, a state estimation method based on convex space, set inversion interval observer filtering-based guaranteed fault estimation and a novel interval observer filtering-based fault diagnosis. The methods presented in this book are more practical than the common probabilistic based algorithms, since these can be applied in unknown but bounded noisy environments. This book will be an essential read for students, scholars and engineering professionals who are interested in filter design, system modeling, state estimation, fault diagnosis, and related fields"--</abstract>
  <tableOfContents>Parameter estimation algorithm based on zonotope-ellipsoid double filtering -- State estimation based on zonotope -- State estimation based on convex spatial structure -- Fault diagnoisis based on interval -- Fault diagnosis based on zonotpic Kalman filtering.</tableOfContents>
  <note type="statement of responsibility">Ziyun Wang, Yan Wang, Zhicheng Ji.</note>
  <subject authority="lcsh">
    <topic>Systems engineering</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Fault location (Engineering)</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Kalman filtering</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Observers (Control theory)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Parameter estimation</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Polygons</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Ellipsoid</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY / Engineering / General</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY / Industrial Design / General</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY / Automation</topic>
  </subject>
  <classification authority="lcc">TA168</classification>
  <identifier type="isbn">9781003327219</identifier>
  <identifier type="isbn">1003327214</identifier>
  <identifier type="isbn">9781000737868</identifier>
  <identifier type="isbn">1000737861</identifier>
  <identifier type="isbn">9781000737882</identifier>
  <identifier type="isbn">1000737888</identifier>
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  <identifier type="uri">https://www.taylorfrancis.com/books/9781003327219</identifier>
  <identifier type="uri">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</identifier>
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    <url displayLabel="Taylor &amp; Francis">https://www.taylorfrancis.com/books/9781003327219</url>
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    <url displayLabel="OCLC metadata license agreement">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</url>
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