Predictive Control Simulation with Adaptive Step Size and System Identification

This predictive control simulation program features two key functionalities: adaptive step size prediction and system identification. The adaptive step size mechanism dynamically adjusts simulation intervals based on system dynamics, significantly improving computational efficiency while maintaining simulation fidelity for real-world scenarios. The system identification module employs recursive parameter estimation techniques to accurately capture system dynamics, thereby enhancing prediction accuracy. The code architecture supports further expansion with additional simulation capabilities such as parameter optimization algorithms (e.g., gradient-based methods) and controller design modules (including MPC formulation solvers), enabling comprehensive customization to meet diverse user requirements. The implementation utilizes MATLAB/Simulink frameworks with core functions handling step size adaptation through event-triggered mechanisms and system identification via recursive least squares algorithms.