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Hyperchaos from cellular neural networks

Hyperchaos from cellular neural networks

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A new realisation for the Saito hysteresis chaos generator (SHCG) is derived from a suitable connection of four generalised cellular neural network (GCNN) cells. In this way the GCNN cell represents the building block for realising highly complex dynamics such as hyperchaos. The circuit implementation and the experimental results are reported.

Inspec keywords: hysteresis; nonlinear network analysis; chaos; cellular neural nets; signal generators

Other keywords: Saito hysteresis chaos generator; cellular neural networks; circuit implementation; hyperchaos

Subjects: Nonlinear network analysis and design; Signal generators; Neural nets (circuit implementations)

References

    1. 1)
      • L.O. Chua , T. Roska . The CNN paradigm. IEEE Trans. , 147 - 156
    2. 2)
      • R.N. Madan . (1993) Chua's circuit: A paradigm for chaos.
    3. 3)
      • T. Saito . An approach toward higher dimensional hysteresis chaos generators. IEEE Trans. , 399 - 409
    4. 4)
      • P. Arena , S. Baglio , L. Fortuna , G. Manganaro . Chua's circuit can be generated by CNN cells — Part I. IEEE Trans.
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