Programmable Emulator of Genuinely Floating Memristive Switching Devices In contrast to the demands for the hardware emulation of existing resistive switching devices with complex nonlinear dynamics, most of todayu0027s hardware emulators mimic the behavior of ideal memristors, which comply with original Chuau0027s definition. We demonstrate an effective method of emulating complex models such as the models by Pickett, Bayat, or Strachan. All these devices can be modeled as firstorder extended memristors with their standard port and state equations. The core of the emulator consists of a microcontrollerbased nonlinear resistive twoport. One port is supplied from a current source controlled by a nonlinear function of the voltages across both ports. The state equation of the emulated device is modeled via connecting a capacitor across this port, its voltage being a state variable. The second port is loaded by a digital potentiometer whose conductance is controlled by port voltages. This port implements the equation of statedependent Ohmu0027s law. The digital potentiometer, as well as the microcontroller providing the digital signal processing of the port and state equations, are carefully selected in terms of the dynamic range, quantization noise, speed, complexity of modeled equations, and power consumption. The emulator was successfully tested for mimicking the complex behavior of the above devices in fully floating configurations.

Chaotic Oscillator Using Coupled Memristive Pairs Chaotic circuits have been demonstrated as a potential avenue for improving system reliability with respect to computation and memory capacity when compared to those that depend on the methodical behavior of components. In this work, we demonstrate how fluxcoupled memristive pairs influence the chaotic dynamics of Chuau0027s circuit. An analog emulator circuit is built to model an idealized fluxcontrolled memristor, and compositely connected to an identical circuit to simulate fluxcoupling. Our circuit is then implemented in Chuau0027s circuit to characterize the influence of fluxcoupling on chaotic oscillations. We mathematically model the behavior of the system in MATLAB, and verify its operation in PSpice, and thus characterize the periodic and chaotic states caused by varying the coupling strength. Therefore, we successfully demonstrate the ability for natural phenomena to be capable of modulating chaotic oscillations without the need for control circuitry.