Automatic Multivariable

The module will cover the following topics:

• The Relationship Between Transfer Functions and Differential Equations
• Representation and Continuous Status Feedback (Eigenvalues, Stability)
• Sampled State Representation and Feedback
• Feedback Control Without and With Full-Loop Control, LQR Control
• State observers
• Nonlinear Control with Examples

Practical exercises: applying what you've learned to real-world examples (e.g., electric motors), programming in Python (using the NumPy and Control libraries).

• Master the fundamental concepts of multivariable control.
• Be able to extend the concepts of linear system control to real-world systems, including nonlinear ones.

• Linear Algebra
• Linear Systems
• Single-Variable Linear Automatic Control

Recommended prerequisites*:

• Python Programming

CM: 24 hours

Practical Training: 6:00 p.m.