Adaptive Control Routine File samp.m
The samp.m adaptive control routine file implements control algorithms using MATLAB 6.5, featuring parameter adaptation mechanisms and system response analysis capabilities.
Genetic Algorithm Implementation for PID Parameter Optimization
Genetic Algorithm Implementation for PID Parameter Optimization Problem with Code Integration
Multiple PID Control Algorithms Under Research
Research and Implementation of Various PID Control Programs with Code Integration Approaches
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
Adaptive Fuzzy Sliding Mode Controller Design
Advanced control strategy combining fuzzy logic with sliding mode variable structure control for robust system performance
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.