View in EDS PDF Full Text

Lorenz-like system design using cellular neural networks.

Saved in:
Bibliographic Details
Title: Lorenz-like system design using cellular neural networks.
Authors: GÜNAY, Enis1, ALTUN, Kenan2 kaltun@cumhuriyet.edu.tr
Source: Turkish Journal of Electrical Engineering & Computer Sciences. 2018, Vol. 26 Issue 4, p1812-1819. 8p.
Subjects: Systems design, Cellular neural networks (Computer science), Chaos theory, Voltage control, Switching circuits
Abstract: In this study, a Lorenz-like system based on cellular neural networks (CNNs) is proposed. Complex butterfly chaotic attractors of Lorenz-like systems are constructed using a three-cell CNN. The proposed system makes the CNN imitate quadratic system dynamics without altering its output nonlinearity. Experimental and numerical analysis results are presented in order to verify the convenience of the system. [ABSTRACT FROM AUTHOR]
Copyright of Turkish Journal of Electrical Engineering & Computer Sciences is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 131285641
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Lorenz-like system design using cellular neural networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22GÜNAY%2C+Enis%22">GÜNAY, Enis</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22ALTUN%2C+Kenan%22">ALTUN, Kenan</searchLink><relatesTo>2</relatesTo><i> kaltun@cumhuriyet.edu.tr</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Turkish+Journal+of+Electrical+Engineering+%26+Computer+Sciences%22">Turkish Journal of Electrical Engineering & Computer Sciences</searchLink>. 2018, Vol. 26 Issue 4, p1812-1819. 8p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Systems+design%22">Systems design</searchLink><br /><searchLink fieldCode="DE" term="%22Cellular+neural+networks+%28Computer+science%29%22">Cellular neural networks (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Chaos+theory%22">Chaos theory</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage+control%22">Voltage control</searchLink><br /><searchLink fieldCode="DE" term="%22Switching+circuits%22">Switching circuits</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this study, a Lorenz-like system based on cellular neural networks (CNNs) is proposed. Complex butterfly chaotic attractors of Lorenz-like systems are constructed using a three-cell CNN. The proposed system makes the CNN imitate quadratic system dynamics without altering its output nonlinearity. Experimental and numerical analysis results are presented in order to verify the convenience of the system. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Turkish Journal of Electrical Engineering & Computer Sciences is the property of Scientific and Technical Research Council of Turkey and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=131285641
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3906/elk-1706-309
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 1812
    Subjects:
      – SubjectFull: Systems design
        Type: general
      – SubjectFull: Cellular neural networks (Computer science)
        Type: general
      – SubjectFull: Chaos theory
        Type: general
      – SubjectFull: Voltage control
        Type: general
      – SubjectFull: Switching circuits
        Type: general
    Titles:
      – TitleFull: Lorenz-like system design using cellular neural networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: GÜNAY, Enis
      – PersonEntity:
          Name:
            NameFull: ALTUN, Kenan
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 08
              Text: 2018
              Type: published
              Y: 2018
          Identifiers:
            – Type: issn-print
              Value: 13000632
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Turkish Journal of Electrical Engineering & Computer Sciences
              Type: main
ResultId 1