Source Code for Neural Network PID Control and Fuzzy PID Control Systems

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Resource Overview

MATLAB-based implementations of neural network PID control and fuzzy PID control algorithms, featuring BP PID, CMAC PID, RBF PID, BP numerical approximation algorithms, BP predictive control, and fuzzy PID controllers with detailed code-level explanations.

Detailed Documentation

This repository contains MATLAB-implemented source codes for neural network PID control and fuzzy PID control systems. The collection includes implementations of BP PID (Backpropagation-based PID tuning), CMAC PID (Cerebellar Model Articulation Controller PID), RBF PID (Radial Basis Function network PID), BP numerical approximation algorithms, BP predictive control systems, and fuzzy PID controllers. Each implementation demonstrates practical application of adaptive control algorithms where neural networks dynamically adjust PID parameters or fuzzy logic systems handle nonlinear control scenarios. The code provides modular structures for easy integration into control system projects, featuring parameter tuning interfaces, real-time adaptation mechanisms, and performance evaluation modules to facilitate practical deployment in industrial automation or robotics applications.

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