A General Model for Metal Oxide-Based Memristors and Application in Filters

Memristors are novel and hopeful electronic memory components. They might be potential substitution of the CMOS elements. Owing to their nano dimensions, low power consumption and memorizing properties, the memristors could be applied in artificial neural networks, memory matrices, programmable analog and digital schemes and other electronic circuits. In this work, a modified and simple, fast operating transition metal oxide-based memristor model is proposed. Its respective LTSPICE library model is created and effectively analyzed in simple memristor-based analog filters. The model’s operation is in agreement with the main patterns of the memristive elements. Its correct functioning and applicability in memristor-based electronic circuits is confirmed.