Optimized control-system architecture comes with many production benefits. One of the tools for doing this is to perform a ...

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

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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) ...

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 ...

Two-dimensional (2D) perovskites are increasingly recognized as promising candidate materials for the next generation of ...

China is pioneering a distinct AI approach, prioritizing systems for real-time urban, industrial, and logistical coordination ...

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

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 ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...