Several devices exhibiting memory effects have shown up in nonlinear circuit theory in recent years. Among others, these circuit elements include Chua’s memristors, as well as memcapacitors and ...

The goal of this project was to obtain Bode plots for first-order circuits using differential equations solved with the Runge-Kutta method in MATLAB. The project was carried out as part of the ...

In this paper we give a necessary and sufficient condition for the oscillation of the first-order neutral differential equations of Euler form with variable unbounded delays $\tfrac{d} {{dt}}\left( {x ...

Abstract: Physics-informed neural networks (PINNs) offer a flexible framework for solving differential equations using physical constraints and data. This study focuses on second-order ...

A tersely annotated collection of references on types of approaches used in currently available methods to solve the general linear, first-order ordinary differential equation is presented, and ...

This repository demonstrates the use of Physics-Informed Neural Networks (PINN) to solve differential equations governing RLC (Resistor-Inductor-Capacitor) circuits. The goal is to show how neural ...

THIS book is the outgrowth of a lengthy experience in training first-year electrical engineering students at the Massachusetts Institute of Technology. The earlier chapters discuss complex numbers, ...

Full-wave rectifiers with capacitor filters are, without question, the workhorse — and the unsung hero — of the modern electronic world and for the gadgets we have come to enjoy. That being said, it ...