Lesson 4: Model Predictive Control and Constrained Applications
Lesson Overview
Develop practical capability in model predictive control and constrained applications as part of the Control Systems Fundamentals and Applications using MATLAB learning path.
Topics Covered
MPC prediction models and horizons
Manipulated, measured, and disturbance variables
Constraints and objective functions
MPC Designer workflow
Closed-loop MATLAB and Simulink simulation
Controller validation and final application project
Practical Activity
Build a guided MATLAB exercise covering mpc prediction models and horizons.
Apply manipulated, measured, and disturbance variables to a practical engineering or data scenario.
Validate results and troubleshoot an issue involving controller validation and final application project.
Key Takeaways
Explain and apply mpc prediction models and horizons.
Use constraints and objective functions in a structured workflow.
Validate outputs with plots, metrics, tests, or simulation evidence.
