Managing the overwhelming numbers of molecular states and interactions is a fundamental obstacle to building predictive models of biological systems. Here we introduce the Network-Free Stochastic ...

Abstract: Dynamic modeling and control are critical for unleashing soft robots’ potential, yet remain challenging due to their complex constitutive behaviors and real-world operating conditions.

A rigorous analytical study of two-wheeled self-balancing robot dynamics using Lagrangian mechanics. This project derives equations of motion from first principles, implements numerical simulations in ...

At the present time, power generations use the fossil fuel, which emits the carbon dioxide to the atmosphere. This paper presents the model and simulation of Doubly Fed Induction Generator (DFIG) ...

1 Faculty of Electrical Technology and Engineering (FTKE), Universiti Teknikal Melaka Malaysia, Melaka, Malaysia. 2 Institut Matematik Kejuruteraan (IMK), Universiti Malaysia Perlis (UniMAP), Perlis, ...

Digital twin of a non-isothermal Van de Vusse reactor using MATLAB simulation and GRU/LSTM neural models. This repository contains the final project developed for the XIX International Chair on ...

Picking the right simulation software is a big first step when you’re getting into mobile robotics. It’s not just about ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...