The new online platform integrates pneumatic, electric motion and I/O sizing tools to streamline system design from concept ...
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 ...
Advances in methods that allow targeted remote control of neuronal activity open new possibilities for investigating and manipulating the function of neuronal circuits in vivo. The group of Michael ...
This repository contains MATLAB codes for solving Linear Quadratic Regulator (LQR) problems using model-free Reinforcement Learning (RL) techniques. It includes methods such as Policy Iteration, Value ...
In recent years, the analysis of a control barrier function has received considerable attention because it is helpful for the safety-critical control required in many control application problems.
Abstract: A novel reinforcement learning-based predefined-time tracking control scheme with prescribed performance is presented in this article for nonlinear systems in the presence of external ...
Precision Simulation's FEATool Multiphysics v. 1.18 provides one-click export functionality and automatic conversion of ...
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