Neural Network PID Control Algorithm Simulation Examples
Simulation examples of neural network PID control algorithms with valuable reference implementations and code demonstrations
PID Control Algorithm for Helicopter's Three Attitude Angles with MATLAB/Simulink Implementation
PID control algorithm for helicopter's three attitude angles using MATLAB/Simulink simulation, integrated with optimal PID design methods to achieve excellent control performance. The implementation includes detailed modeling of roll, pitch, and yaw angles with systematic tuning approaches.
MATLAB Implementation of Adaptive PID Control Algorithm
An enhanced PID control algorithm with adaptive capabilities, improving upon traditional PID control methods through dynamic parameter adjustment and system responsiveness optimization.
Quadrotor Adaptive Control with Simulink Implementation
Quadrotor Simulink adaptive control algorithms featuring both identification-based adaptive control and non-identification adaptive approaches, along with PID control implementation and comparative analysis
PID Control Algorithm Based on BP Neural Network
PID control algorithm utilizing BP neural network for tracking sinusoidal, square wave, and step signals with adaptive parameter tuning