Pioneering studies suggested that motor information in the cortex is coded through the combined actions of large populations of widely tuned neurons rather than by small numbers of highly tuned ...

Abstract: This paper introduces a gain-scheduling PID controller design strategy for hydroturbine frequency control mode. This scheme first uses real data to learn the nonlinear dynamics of the ...

Abstract: Accurate controller tuning is important for ensuring optimal performance in flow control processes, particularly onboard ships, where precise control of fluid systems such as oil, gas, and ...

A playground for experimenting with PID, model‑predictive, and machine‑learning–based controllers. DeepPID provides both traditional and neural adaptive controllers in a single, consistent framework, ...