Lorenz-like system design using cellular neural networks


GÜNAY E., ALTUN K.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, vol.26, no.4, pp.1812-1819, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 4
  • Publication Date: 2018
  • Doi Number: 10.3906/elk-1706-309
  • Journal Name: TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Page Numbers: pp.1812-1819
  • Keywords: State-controlled cellular neural networks, Lorenz system, multivariable nonlinearity, complex dynamics, Lorenz-like systems, CHAOTIC ATTRACTOR, CNN, CIRCUIT
  • Sivas Cumhuriyet University Affiliated: Yes

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.