In this study, we focus on the problem of controlling chaos in State Controlled-Cellular Neural Network (SC-CNN) based chaotic circuit, which is a counterpart realization of unfolded Chua's circuit. For this purpose, RLC based external and internal control mechanisms are applied to SC-CNN based chaotic circuit. With these applications, SC-CNN based chaotic circuit is able to exhibit the serial behavior variations including periodic and chaotic dynamics as in the original Chua's circuit. The validities of the proposed modifications are shown by both SPICE simulations and laboratory experiments.
['Enis Günay', 'Recai Kiliç', 'Nimet Dahasert']
External and internal control applications for SC-CNN-based chaotic circuit