Abstract: Future smart grid virtual power plants (VPPs) are considered for development based on industry communication standards for electric vehicle (EV) chargers such as Open Charge Point Protocol ...

A real-world smart office study shows how neural network lighting control can reduce energy use and support adaptive building ...

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

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

Spanish control systems specialist Sunner has launched True Wind, a predictive monitoring system that detects wind-induced ...

Export controls on intangible, digital goods like software and data have historically fared far worse than export controls on ...

Abstract: In this technical note, we propose a model predictive control (MPC) framework for switched piecewise-affine (PWA) systems under dwell-time constraints, with guaranteed recursive feasibility ...

To enhance the automation and efficiency of combine harvesters, this paper proposes a predictive control method based on Long Short-Term Memory (LSTM) neural networks. The method integrates ...

The sense of agency and the experience of fatigue are usually treated as separate constructs: one concerning perceived control over action, the other reflecting subjective energetic state. However, ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

In January 2025, Dugald River Mine (DRM) successfully commissioned a closed-loop process digital twin for their zinc rougher scavenger flotation circuit. The outputs of the system are directly ...