Lorenz-like system design using cellular neural networks

GÜNAY E., ALTUN K.

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.26, sa.4, ss.1812-1819, 2018 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 4
  • Basım Tarihi: 2018
  • Doi Numarası: 10.3906/elk-1706-309
  • Dergi Adı: TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.1812-1819
  • Anahtar Kelimeler: State-controlled cellular neural networks, Lorenz system, multivariable nonlinearity, complex dynamics, Lorenz-like systems, CHAOTIC ATTRACTOR, CNN, CIRCUIT
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

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.