Abstract
In this Chapter, a Cellular Neural/Nonlinear Network (CNN) made of memristor-based cells is introduced. The Memristive CNN consists of identical cells, each containing a memristor, an inductor and a capacitor. We show how the Memristive CNN is able to generate autowaves. We investigate then an FPGA-based implementation of it and related experimental results confirming the capabilities of the system to generate autowaves. This shows that memristor can be used not only as a fundamental block of new chaotic circuits, but also to build complex systems made of interacting memristor-based elementary cells. In such systems many complex phenomena may take place like the autowave propagation discussed in this Chapter and thus feasible hardware emulators allowing an experimental investigation of systems based on electrical analogues of memristor devices are required. In this Chapter such a platform has been realized by using an FPGA-based approach which also has the further advantage of being flexible and easily adaptable to the study of other memristor-based complex systems.
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Pham, VT., Buscarino, A., Frasca, M., Fortuna, L. (2014). Autowaves in a Lattice of Memristor-Based Cells. In: Adamatzky, A., Chua, L. (eds) Memristor Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-02630-5_29
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DOI: https://doi.org/10.1007/978-3-319-02630-5_29
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