Memristive grids have been recently used as emerging analogue processors in various
fields of application. This paper introduces a memristive grid for maze-solving applications …

We propose a meminductor-based chaotic system. Theoretical analysis and numerical
simulations reveal complex dynamical behaviors of the proposed meminductor-based …

Memristive nonlinear system has drawn much attention in recent years, due to its rich and
complex dynamical characteristics. However, there are few studies focus on the analytical …

Nonlinear resistive grids have been extensively used in the past for achieving image
filtering, focused on both smoothing and edge detection, by resorting to the nonlinear …

Storing information and gradually modifying its electrical resistance are some of the most
important qualities of the memristor. According to the importance generated by this new …

In this paper, a modeling methodology is presented. It is focussed on developing a charge-
controlled model of the memristor that can be compatible with the standard circuit simulation …

This paper presents a memristor emulator constructed with active building blocks and a
model based on port equations. The proposed memristor emulator employs analog current …

Resistive random access memory device (RRAM) has been widely used in various novel
circuit systems, such as memory, artificial intelligence, and neural networks, due to its …

Fabricated Ag/TiO 2/ITO devices, that show memristive properties, have been measured and
their electrical variables were characterized. A piecewise nonlinear methodology is used to …

Image edge detection has been carried out in last years by implementing nonlinear resistive
grids. With the advent of the memristor as a real device, recent explorations have been …