Fuzzy Logic MATLAB Source Code
A MATLAB source code implementation for fuzzy logic systems that provides a foundation for developing microcontroller-based fuzzy control programs, with implementation approaches similar to C language programming.
Double Inverted Pendulum Model Implementation Using S-Functions
Implementation of a double inverted pendulum model using S-functions with simulation studies employing state feedback control, optimal control, and fuzzy control methodologies.
Fuzzy Control Algorithm Program Based on BP Neural Network
A complete fuzzy control algorithm implementation using BP neural networks, fully executable in MATLAB environment with neural network training and control optimization capabilities
MATLAB Implementation of Adaptive Fuzzy Control Systems
Adaptive Fuzzy Control, Direct Adaptive Fuzzy Control, Indirect Adaptive Fuzzy Control with Algorithm Implementation Approaches
Fuzzy Control Program Developed Using SIMULINK
MATLAB/SIMULINK-based fuzzy control program implementation with code architecture details
Model Adaptive Fuzzy Control Source Code
MATLAB-based source code for model adaptive fuzzy control system, featuring simulation examples with detailed programming implementation notes covering parameter configuration and algorithm validation.
Simulink Simulation Algorithm for Fuzzy and PID Control Systems
Simulation algorithm for fuzzy and PID control implemented in Simulink, featuring comparative analysis of fuzzy control and PID control methodologies with modular implementation approach.
Generation of Fuzzy Control Rule Tables
A program for generating fuzzy control rule tables, implemented using MATLAB M-files.
MATLAB Code Implementation for Fuzzy Control Simulation
A comprehensive fuzzy control simulation program containing practical assignment exercises, designed for hands-on learning and performance evaluation.
Quadrotor Fuzzy Control Simulation in Simulink
Simulation of a quadrotor UAV flight control system, employing fuzzy PID control for motor output regulation with implementation insights on controller design and parameter tuning.