First AI agent and risk prediction model for precision diabetes management

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision ...
Tech Xplore

An AI-powered control system for robots with legs

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...
IEEE

Model Predictive Control of Grid-Connected Inverters for PV Systems With Flexible Power Regulation and Switching Frequency Reduction

Abstract: This paper presents a model predictive direct power control strategy for a grid-connected inverter used in a photovoltaic system as found in many distributed generating installations. The ...
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 ...
Scientific Research Publishing

Hybrid Deep Reinforcement Learning and Model Predictive Control for Microgrids ()

The current microgrids are experiencing growing difficulties in voltage stability and operational capacity, particularly with constant power loads (CPLs), leading to negative impedance behavior and ...
GitHub

Fast System Level Synthesis: Robust Model Predictive Control using Riccati Recursions

This repository contains the MATLAB code that accompanies the research paper: Leeman, Antoine P and Kohler, Johannes and Messerer, Florian and Lahr, Amon and Diehl, Moritz and Zeilinger, Melanie N ...
Frontiers

Composite model predictive control for the boost converter and two-phase interleaved boost converter

This article compares the conventional model predictive control (MPC) and active disturbance rejection control (ADRC) with a novel MPADRC technique for controlling a non-minimum phase behavior in the ...