Dot Physics on MSN

Spring-force modeling of a spinning and flipping T-handle in Python

Spring-force modeling of a spinning and flipping T-handle in Python. Explore rotational dynamics, torque, and oscillations through clear simulations and physics-based code. #RotationalDynamics #Spring ...
Dot Physics on MSN

Modeling RC circuits and low-pass filters in Python

Modeling RC circuits and low-pass filters in Python with clear explanations and practical examples. Learn how voltage, time constants, and frequency response work in real circuits. #RCCircuit #LowPass ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
C&EN

Experimental Nonlinear Model Predictive Control of Crystal Size and Yield in Batch Cooling Crystallization Enabled by Soft Sensor and Symbolic-Based Calibration Model

Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

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 ...
C&EN

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
Frontiers

Decentralized nonlinear model predictive control-based flock navigation with real-time obstacle avoidance in unknown obstructed environments

This work extends our prior work on the distributed nonlinear model predictive control (NMPC) for navigating a robot fleet following a certain flocking behavior in unknown obstructed environments with ...
IEEE

Dual-Mode Model Predictive Control for Constrained Networked Control System With DoS Attacks and Disturbances

Abstract: A dual-mode model predictive control (MPC) strategy is tailored for a networked control system (NCS) operating in a constrained environment that is vulnerable to additive disturbances as ...