Internal Model Control (IMC) Toolbox
Internal Model Control (IMC) Toolbox featuring parameter tuning algorithms and PID controller parameter conversion utilities with MATLAB implementation examples
Implementation of PID Controller Parameter Tuning Using Fuzzy Control Theory
MATLAB-based programming implementation of fuzzy control theory for PID parameter tuning with step response simulation experiments on known system models.
Particle Swarm Optimization for Tuning Three PID Parameters
Particle Swarm Optimization Algorithm for Automated PID Controller Parameter Tuning
Implementation of Single-Phase Dual-Loop PWM Rectifier
Implementation and MATLAB Simulation Analysis of Single-Phase Dual-Loop PWM Rectifier Control System
IMC Controller Design: Implementation in MATLAB
Internal Model Control (IMC) Design with MATLAB Code Implementation
SVPMW Control for Permanent Magnet Generators
SVPMW Control for Permanent Magnet Generators
A PID Control System Tuned via BP Neural Network
An adaptive control approach integrating traditional PID control with BP neural network for dynamic parameter optimization
PID Control Tuned by BG-PSO Algorithm
PID control optimization using the Biogeography-Based Particle Swarm Optimization (BG-PSO) algorithm for improved parameter tuning
ADRC Source Code Documentation and Implementation Guide
Comprehensive technical documentation and source code analysis for Active Disturbance Rejection Control (ADRC) algorithms, including implementation details and practical applications.
BP Neural Network PID Parameter Tuning
Intelligent optimization method combining neural networks with PID control for automatic parameter adjustment to enhance system adaptability and stability.