Trainings

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

CERTIFICATION: Certificate of Completion

LENGTH: 27 Days, 6 Weeks

SCHEDULE: M - F, 9:00 - 17:00

LOCATION: To be Announced