Rtd-Based Cellular Neural Networks with Multiple steady States

نویسندگان

  • Makoto Itoh
  • Pedro Julián
  • Leon O. Chua
چکیده

In this paper, we study the relationship between the standard cellular neural network (CNN) and the resonant tunneling diode (RTD)-based CNN. We investigate the functional and advanced capabilities of a new generation of CNNs that exploit the multiplicity of steady states. We also include in the analysis higher order CNNs. Furthermore, some methods for designing RTD-based CNNs with multiple steady states are presented.

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عنوان ژورنال:
  • I. J. Bifurcation and Chaos

دوره 11  شماره 

صفحات  -

تاریخ انتشار 2001