While current control and PWM switching play the most direct role in driving brushless DC motors, the motion profile and ...

For IT leaders, it is an early signal that quantum risk and opportunity planning need to move from the lab slide deck to the ...

A new study published in Engineering introduces a neural-network-based switching output regulation controller (NN-SORC) for high-speed ...

Unlike industries with established architectures and interfaces, the design of a typical humanoid robot actuator ...

MATLAB and Simulink empower engineers to design, simulate, and deploy control systems seamlessly from concept to real-time operation. With hardware-in-the-loop testing, embedded code generation, and ...

Struggling with hysteresis and slow computing in high-speed nano-positioning systems? A new study in Engineering presents a ...

Simple ant-like robots collectively build or demolish structures without central control, just by tuning two parameters - ...

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...

In many production pipelines, RLHF (reinforcement learning from human feedback) is used as a structured governance mechanism that converts expert judgments into reward signals used to refine model ...

Johnson Controls has acquired Nantum AI, a New York–based company focused on applying artificial intelligence to building operations. The deal is aimed at strengthening Johnson Controls’ OpenBlue ...

Stress fiber–generated traction forces critically regulate mesenchymal stem cell (MSC) behavior, yet how mechanical cues are ...