Neural Network-Based Self-Tuning Control for Quanser's Three-Degree-of-Freedom Helicopter
Self-Tuning Control Method 2 Using Neural Network Control for Quanser's 3-DOF Helicopter System
Fuzzy Control and Neural Network Control for Single Inverted Pendulum Systems
Implementation of fuzzy control and neural network control strategies for single inverted pendulum systems within Simulink simulation environments. Usage note: For fuzzy controller execution, first import the *.fis file into the MATLAB workspace using the readfis() function before running the simulation to ensure proper initialization of fuzzy inference systems.
Neural Network-Based Ship Course Control Simulation using MATLAB
MATLAB simulation program for ship course control using neural networks with detailed algorithm implementation
Detailed Analysis of Neural Network Control MATLAB Code with Implementation Insights
Comprehensive breakdown of neural network control MATLAB code featuring detailed annotations for every line, based on extensive practical experience. This guide demonstrates algorithm modifications and covers diverse neural network control implementations including fuzzy neural networks and adaptive neural networks. Includes practical code adaptation techniques, parameter tuning guidance, and architectural explanations - highly valuable for undergraduate and graduate thesis projects.
Advanced Control Techniques with MATLAB Implementation
This MATLAB-based resource provides executable code implementations for multiple advanced control methodologies. Each technique includes practical examples demonstrating controller design, parameter tuning procedures, and performance analysis. The collection covers intelligent control algorithms like fuzzy logic controllers with membership function design, neural network models for system identification and control, grey prediction models for uncertain systems, and rule-based expert systems. Traditional advanced controllers include robust control designs addressing system uncertainties, Smith predictors for dead-time compensation, Dahlin algorithms for digital controller design, along with comprehensive PID variants including position-type, incremental-type, and advanced industrial PID implementations with anti-windup mechanisms and tuning guidelines.
Asynchronous Motor Speed Control System
Asynchronous Motor Speed Control System with Neural Network Implementation