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 ...
Academics have developed a maximum power point tracking (MPPT) algorithm for PV systems that combines incremental conductance with fuzzy logic control. The inputs used are the sum of conductance and ...
The problem of state feedback controller design for a class of nonlinear systems, which are described by continuous-time affine fuzzy systems. This post is an excerpt from the journal ISA Transactions.
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