Laser-driven fields directly control transverse kinetic instabilities and, through nonlinear coupling, delay longitudinal ...

Simulating the nonlinear optical physics that underlies ultrafast laser systems is computationally demanding—a practical bottleneck in settings that require rapid feedback. A study by researchers at ...

Model predictive control (MPC) has emerged as a leading methodology for steering nonlinear processes by solving a constrained optimisation problem at each sampling instant. By forecasting future ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

In the rapidly evolving landscape of Web3, non-custodial wallets have emerged as a cornerstone of the ecosystem, embodying the principles of decentralization, user empowerment, and financial autonomy.

Many studies have been made on the double-fed induction generator wind turbine system (DFIG-WTS) in recent decades due to its power management capability, speed control operation, low converter cost, ...

Abstract: In this article, we establish a collection of new theoretical properties for nonlinear stochastic model predictive control (SMPC). Based on the concept of stochastic input-to-state stability ...

Integrated systems required for renewable energy use are under development. These systems impose more stringent control requirements. It is quite challenging to control a pumped storage system (PSS), ...

Abstract: This letter presents the modeling, system identification and nonlinear model predictive control (NMPC) design for longitudinal, full envelope velocity control of a small tiltwing hybrid ...

The goal of this repository is to implement the path tracking algorithm of mobile robot using the Nonlinear Model Predictive Control(NMPC), one of the optimal controllers. The NMPC can provide the ...