Basic Model Predictive Control (MPC) MATLAB Program

This repository contains a fundamental Model Predictive Control (MPC) MATLAB file designed for implementing predictive control systems. The file incorporates a straightforward prediction model and controller architecture suitable for managing complex dynamic systems. Within this implementation, you'll discover comprehensive documentation on writing MATLAB code to achieve model predictive control, featuring detailed algorithm explanations covering prediction horizon setup, constraint handling, and optimization solver integration. The code demonstrates key functions including state prediction, cost function formulation using quadratic programming approaches, and receding horizon implementation techniques. Additionally, the file contains practical utilities and programming strategies to enhance your understanding of MPC principles and facilitate adaptation to various engineering applications. If you require a user-friendly foundational MPC MATLAB implementation with clear code annotations and algorithmic breakdowns, this resource will effectively meet your development needs.