I suppose I was always a bit of a nerd,” he says with a laugh, recalling how, as a boy growing up in England, he set out to ...

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

AI acts as a feature to support existing solutions, which enables predictions and control process improvements beyond ...

Variable-load unmanned aerial vehicles (UAVs) are key tools in smart agriculture, particularly playing a vital role in the ...

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

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

Abstract: This paper introduces a novel adaptive path tracking controller that integrates the Proximal Policy Optimization (PPO) algorithm with a Proportional-Integral-Derivative (PID) control ...

Abstract: When traditional proportional integral and differential controllers are applied to speed control in permanent magnet synchronous motors (PMSM), their coefficients are basically determined ...

Hot glue guns are pretty simple beasts: there’s an on/off switch, a heating element, and a source of current, be it battery or wired. You turn it on, and the heater starts warming up; eventually you ...

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

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 ...

Plant engineers and technicians are frequently asked to tune the controller when a control loop’s process value has prolonged or significant excursions from the set point. But in many instances, no ...