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: This article introduces a nonlinear adaptive proportional-integral-derivative (PID) tracking control methodology suitable for a class of multi-in-multi-out nonlinear systems. By ...
MATLAB, Simulink and Python implementation of Active Disturbance Rejection Control with Extended State Observer, Tracking Differentiator, input delay compensation, and control saturation.
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, ...