MATLAB Examples for Adaptive Control with Implementation Demonstrations

This collection presents MATLAB implementation examples for adaptive control systems, designed to facilitate practical understanding of control methodologies. The examples demonstrate core adaptive control algorithms through executable code, including parameter estimation routines and controller adjustment mechanisms. Several implementations incorporate fuzzy logic control for performance comparison, showcasing differences in response characteristics and stability handling. The code covers multiple adaptive control architectures such as Model Reference Adaptive Control (MRAC) with reference model tracking loops, Model Following Adaptive Control with stability analysis components, and Adaptive Sliding Mode Control featuring boundary layer implementations. Each example includes commented code sections explaining algorithm initialization, adaptation laws, and performance evaluation metrics. Through these practical implementations, users can analyze the advantages and limitations of adaptive control strategies, and develop criteria for selecting optimal algorithms based on system requirements and disturbance conditions.