MATLAB, Simulink and Python implementation of Active Disturbance Rejection Control with Extended State Observer, Tracking Differentiator, input delay compensation, and control saturation.

Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...

A MATLAB implementation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) controller for magnetic levitation (MagLev) systems. This project implements a neuro-fuzzy controller using ANFIS to control ...

Abstract: The Takagi–Sugeno (TS) fuzzy control design method has been widely utilized for nonlinear system control due to its ability to approximate complex system behaviors. Traditionally, TS fuzzy ...

The paper, “Nonlinear Control and Decision Making Using Fuzzy Logic in Logix,” provides best practices for designing with fuzzy control and examines its benefits compared to conventional control ...