Model Predictive Control Course using MATLAB & Simulink
Starting with foundational MATLAB skills, the program progresses to advanced topics such as nonlinear systems, MPC theory for both linear and nonlinear systems, and practical controller design using MATLAB & Simulink. Participants will learn to tune and evaluate MPC performance while gaining hands-on experience through simulations and real-world scenarios. The course concludes with a capstone project, where participants apply their knowledge to solve complex control challenges and showcase their solutions through presentations and peer reviews.
Foundations of MATLAB
3 Days
- Navigating the MATLAB interface and understanding core functionalities
- Basics of variables, arrays, operators, and fundamental functions
- Importing and managing data from various file formats
- Creating and customizing data visualizations
- Exporting graphics and data for reports
MATLAB Programming Essentials
2 Days
- Introduction to control structures: Loops, if-else statements, and error handling
- Writing and utilizing functions effectively
Matrix Operations
2 Days
- Creating and manipulating matrices
- Performing mathematical operations with matrices
- Applications of matrices: Transformations, rotations, and solving linear equations
- Introduction to least-square methods
Data Analysis and Processing
3 Days
- Advanced data types: Structure arrays, cell arrays, categorical data, and datetime objects
- Organizing and analyzing tabular data
- Conditional data selection and filtering
- Importing and exporting datasets: .mat files, text data, and tabular formats
Modeling & Simulation Fundamentals in MATLAB
6 Days
- Introduction to dynamical systems
- Numerical integration and differentiation
- Solving differential equations using MATLAB solvers
- Techniques for simulation: Input parameters, data interpolation, and studies
- Simulation control mechanisms: Event functions and output functions
- Case studies
Modeling & Simulation using Simulink
2 Days
- Basics of Simulink: Block diagrams, signals, and subsystems
- Utilizing Simulink libraries and creating custom functions
- Import/export workflows and lookup tables
- Control systems and automation of simulation tasks with MATLAB
- Hands-on exercises
Model Predictive Control
7 Days
- Introduction to nonlinear systems
- Controller Design for nonlinear systems
- Model predictive control theory for linear and nonlinear systems
- MPC design using MATLAB & Simulink
- MPC tuning and performance evaluation
- Hands-on exercises
Capstone Project
2 Days
- Application of course concepts on a real-world project
- Presentation and peer review of project results