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  <titleInfo>
    <title>Modeling magneto-rheological damper using ANFIS method</title>
  </titleInfo>
  <name type="personal">
    <namePart>Mohd Ridzwan Ramli</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
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    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2012</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xvi, 53 p. : ill. ; 30 cm. + 1 CD-ROM</extent>
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  <abstract>This thesis focused on the development Modeling Magneto-Rheological damper using Adaptive Neuro-Fuzzy Inference System (ANFIS) method. Magneto-Rheological (MR) damper is a semi-active control device and has been characterized by a set of nonlinear differential equations which represent a model of the MR damper. By using this mathematical model, the force of the MR damper is directly solved to a given displacement and applied current. However, solving the non-linear equations describing the performance of the MR damper may be difficult or time consuming to predict a required voltage. One of the methods to model the MR damper is using (ANFIS).It is faster than the mathematical model for keeping the error small. ANFIS has been effectively applied to model complex systems because of its great training process.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Mohd Ridzwan Hj Ramli</note>
  <note>Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang – 2012</note>
  <note>Bibliography : p. 48-50</note>
  <subject authority="lcsh">
    <topic>Magnetic suspension</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Damping (Mechanics)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Fuzzy sets</topic>
  </subject>
  <identifier type="isbn">THE0005510(Local)</identifier>
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    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">131107</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204550.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000075887</recordIdentifier>
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