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

Data center load shifting is an effective demand flexibility strategy to minimize peak demand for data centers through aggregate conservation. Last November, CNBC reported that data centers alone are ...

Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...

Abstract: This article presents a hybrid model predictive controller to ensure dc microgrid stability and enhance the performance of dc-dc boost converters interfaced with constant power loads (CPLs) ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

Summary A predictive maintenance model that processes data at high speed supports faster decision-making and real-time ...

To construct model predictive controllers (MPCs), we must first specify a plant model that is typically extracted from input-output data using system identification. The model here is linear with one ...

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...

Two-dimensional perovskites are often seen as leading candidates for future LEDs and solar cells ...

A research team at The Hong Kong Polytechnic University (PolyU) has developed Hong Kong's first "AI Agent for Precision Diabetes Management—PIPE-AI" (AI Agent), designed specifically for Asian ...

Around the 2026 FIFA World Cup, Hyundai and Boston Dynamics have taught footwork to the Atlas humanoid, while the Spot robot ...

From Xi’an’s immersive heritage experiences to Dubai’s smart tourism ambitions, Shaanxi’s blend of 5G-Advanced (5GA) networks ...