Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...

Abstract: Model predictive control (MPC) has been deemed as an attractive control method in motor drives by virtue of its simple structure, convenient multi-objective optimization, and satisfactory ...

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

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

The International Conference on Data Science & AI for Social Good and Responsible Innovation (DASGRI 2026) was successfully ...

The strength model of willpower enjoys both supporters and critics, earning both influence and critique since its development in the mid-'90s. It is often cited in discussions around psychology’s ...

Please provide your email address to receive an email when new articles are posted on . “[Myopia] is a growing worldwide problem without a cure, but we can do some things,” Kohnen said. Outdoor recess ...

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 ...

The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The full list of updates is extensive, but the highlights matter.

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.