SICNNs with Li-Yorke chaotic outputs on a time scale

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Fen M. O., Fen F. T.

NEUROCOMPUTING, cilt.237, ss.158-165, 2017 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 237
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1016/j.neucom.2016.09.073
  • Dergi Adı: NEUROCOMPUTING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.158-165
  • Anahtar Kelimeler: Shunting inhibitory cellular neural networks, Time scales, Li-Yorke chaos, Proximality, Frequent separation, Chaos control, CELLULAR NEURAL-NETWORKS, ANTIPERIODIC SOLUTIONS, POSTSYNAPTIC CURRENTS, DELAYS, SYNCHRONIZATION, STABILITY, FEEDBACK
  • TED Üniversitesi Adresli: Evet

Özet

The existence of Li-Yorke chaos in the dynamics of shunting inhibitory cellular neural networks (SICNNs) on time scales is investigated. It is rigorously proved by taking advantage of external inputs that the outputs of SICNNs exhibit Li-Yorke chaos. The theoretical results are supported by simulations, and the controllability of chaos on the time scale is demonstrated by means of the Pyragas control technique. This is the first time in the literature that the existence as well as the control of chaos are provided for neural networks on time scales.