Modeling and simulation of a memristor-based sawtooth signal generator using nonlinear dopant drift memristor models

Memristor, i.e. memory resistor, is a new found two terminal passive circuit element. Apart from the capacitor, the inductor, and the resistor, existance of another circuit element whose flux and charge are related has been postulated by Dr. Leon Chua in 1971. A thin-film memristive system which behaves as a memristor has been found in 2008. Memristors and memristive systems are expected to bring innovations in areas such as computer architectures, electronics, signal processing, image processing, programmable logic circuits, filter circuits, communication electronic systems, etc. Various analogue applications of the memristor are available in literature. In 2016, Özgüvenç et al. proposed a memristor-based sawtooth signal generator and examined it using linear dopant drift memristor model. Nonlinear dopant drift memristor models are more accurate than linear dopant drift memristor models. In this thesis, analytical solutions of this sawtooth signal generator are found by using several nonlinear drift memristor models. Then, this source is simulated using nonlinear dopant drift memristor model in Simulink toolbox of Matlab.