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  <titleInfo>
    <title>Performance analysis and synthesis for discrete-time stochastic systems with network-enhanced complexities</title>
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  <name type="personal">
    <namePart>Ding, Derui</namePart>
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  <name type="personal">
    <namePart>Wang, Zidong</namePart>
    <namePart type="date">1966-</namePart>
    <role>
      <roleTerm type="text">author.</roleTerm>
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  <name type="personal">
    <namePart>Wei, Guoliang</namePart>
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    <dateIssued encoding="marc">2019</dateIssued>
    <copyrightDate encoding="marc">2019</copyrightDate>
    <issuance>monographic</issuance>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <abstract>The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact. Key Features: Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities; Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems; Captures the essence of performance analysis and synthesis for stochastic control and filtering; Concepts and performance indexes proposed reflect the requirements of engineering practice; Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability.</abstract>
  <note type="statement of responsibility">Derui Ding, Zidong Wang, Guoliang Wei.</note>
  <subject authority="lcsh">
    <topic>Automatic control</topic>
    <topic>Mathematics</topic>
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  <subject authority="lcsh">
    <topic>Stochastic processes</topic>
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  <subject authority="lcsh">
    <topic>Discrete-time systems</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY &amp; ENGINEERING / Engineering (General)</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS / Differential Equations</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY / Electricity</topic>
  </subject>
  <classification authority="lcc">TJ213</classification>
  <classification authority="ddc" edition="23">629.801/176</classification>
  <identifier type="isbn">9780429880032</identifier>
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  <identifier type="uri">http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf</identifier>
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