MPC Demonstration Program for MATLAB 7.0

The content references an MPC demonstration program designed for MATLAB 7.0. Let me provide a more detailed technical description. This compact program enables users to observe simulation results of MPC (Model Predictive Control) controllers through interactive visualizations. Specifically developed for MATLAB 7.0 compatibility, the implementation utilizes MATLAB's Control System Toolbox functions to construct predictive models and solve optimization problems using quadratic programming algorithms. The demonstration includes code modules that showcase key MPC components: prediction horizon configuration, constraint handling mechanisms, and real-time control adjustments. Through this program, users will analyze various graphical outputs and numerical data demonstrating MPC controller performance metrics including setpoint tracking, disturbance rejection, and constraint management. The code architecture employs MATLAB's MPC object creation with customizable parameters for state-space models and cost function weights. For students and control engineering professionals interested in advanced control strategies, this program serves as an excellent educational tool for understanding MPC implementation workflows, algorithm behavior, and practical application scenarios through executable MATLAB code examples.