MATLAB Code Implementation for Model-Free Adaptive Controller

Implementing controllers using MATLAB programming and realizing model-free adaptive control within Simulink block diagrams. This control methodology dynamically adjusts controller parameters based on real-time system feedback, enabling superior control performance without requiring explicit system models. In Simulink diagrams, users can interconnect various functional blocks and components to construct desired control logic architectures. Through MATLAB code implementation, developers can define controller behaviors using algorithms like recursive parameter estimation and adaptive gain adjustment, while optimizing performance based on operational conditions. The controller implementation typically involves key functions such as adaptive law computation, reference signal tracking, and real-time parameter tuning algorithms. This model-free adaptive control approach finds extensive applications across multiple domains including mechanical control systems, industrial automation, and robotics technology, where it handles system uncertainties through data-driven adaptation mechanisms rather than predefined mathematical models.