External and internal control applications for SC-CNN-based chaotic circuit

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.