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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>American Journal of Electrical and Electronic Engineering</journalTitle>
    <eissn>2328-7357</eissn>
    <publicationDate>2016-04-09</publicationDate>
    <volume>4</volume>
    <issue>2</issue>
    <startPage>49</startPage>
    <endPage>61</endPage>
    <doi>10.12691/ajeee-4-2-2</doi>
    <publisherRecordId>AJEEE2016422</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">A Review on Hybrid Controller Using Soft Computing Algorithms</title>
    <authors>
      <author>
        <name>Lokesh Kumar Agrawal</name>
        <email>lokesh_7575@rediffmail.com</email>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Bhavesh Kumar Chauhan</name>
        <affiliationId>2</affiliationId>
      </author>
      <author>
        <name>G. K. Benerjee</name>
        <affiliationId>2</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Electrical Engineering, IFTM University, Moradabad(U.P.), India</affiliationName>
      <affiliationName affiliationId="2">Department of Electrical Engineering, ABESIT, Ghaziabad (U.P.), India</affiliationName>
    </affiliationsList>
    <abstract language="eng">Aadaptability and self-organization of a system is two key factors, when it comes to how well the system is surviving for the changes to the environment and how these work within the plant. Different tuning methods and soft computing techniques improve these two factors in controllers. Considering the increasing complexity of dynamic systems along with their need for feedback controls, using more complicated controls has become necessary and these techniques can be a suitable response to this necessity. This paper briefly describes a review on different techniques used for PID tuning as well as soft computing algorithm for hybrid controllers. This paper provides a comprehensive reference source for people working with hybrid controllers.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/ajeee/4/2/2/ajeee-4-2-2.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>PI Controller</keyword>
      <keyword>PID Controller</keyword>
      <keyword>FLC</keyword>
      <keyword>Neuro-fuzzy system</keyword>
      <keyword>Tuning</keyword>
      <keyword>ANFIS<b></b></keyword>
    </keywords>
  </record>
</records>