Details

Autor(en) / Beteiligte

• Cafagna, D.
• Grassi, G.

Titel

Two-cell cellular neural networks: generation of new hyperchaotic multiscroll attractors

Ist Teil von

• Proceedings of the International Joint Conference on Neural Networks, 2003, 2003, Vol.2, p.924-929 vol.2

Ort / Verlag

IEEE

Erscheinungsjahr

2003

Quelle

IEEE Xplore

Beschreibungen/Notizen

• In this paper the attention is focused on the complex dynamic phenomena generated by cellular neural networks (CNNs). By taking as basic cell Chua's circuit with sine-type nonlinearity, it is shown that a simple two-cell CNN is able to generate hyperchaotic behaviors. In particular, the paper shows that new multiscroll attractors can be obtained by modifying circuit parameters related to the cell nonlinearities. Finally, different examples are reported to illustrate the effectiveness and robustness of the proposed approach.