MPC Demonstration Program

The MPC (Model Predictive Control) demonstration program is a compact application developed for MATLAB 7.0, designed to intuitively illustrate the operational principles and effectiveness of model predictive control algorithms. This program enables users to quickly grasp MPC's fundamental workflow - including prediction, optimization, and feedback adjustment processes - through visual results without requiring deep understanding of underlying code. The implementation likely utilizes MATLAB's Control System Toolbox functions for system modeling and optimization solvers like quadprog for constrained optimization.

As an advanced control strategy, MPC is widely adopted in industrial control systems for handling multivariable optimization problems with constraints. The demonstration program likely incorporates simple simulation models (linear or nonlinear systems) where users can adjust parameters such as prediction horizon, control horizon, or constraint conditions to observe how the controller dynamically adjusts outputs for optimal performance. The core algorithm typically involves solving a receding horizon optimization problem at each control interval, where the code would implement cost function minimization subject to system dynamics and operational constraints.

For beginners, such demonstration tools help build intuitive understanding of MPC concepts; for experienced developers, it serves as a reference for algorithm validation or teaching purposes. The program may include comparison functionalities showcasing control performance differences under varying parameters, thereby deepening understanding of MPC's robustness and adaptability. Key functions might include trajectory prediction using state-space models, constraint handling through inequality equations, and real-time plot updates for visualization.

Note: As this is based on the older MATLAB 7.0 version, ensure compatibility during use, or consider adapting its logic to newer MATLAB versions by updating deprecated functions and utilizing modern MPC design tools like mpcscheme or System Identification Toolbox features.