ECTS
5 credits
Training structure
Faculty of Science
Description
The module will cover the following points:
- Transfer function link and differential equation
- Representation and continuous status feedback (eigenvalues, stability)
- Representation and sampled status feedback
- Feedback control without and with full-loop feedback, LQR control
- State observers
- Nonlinear control with examples
Practical work: applying knowledge to real-world examples (e.g., electric motors), programming in Python (numpy and control libraries).
Objectives
- Master the fundamental concepts of multivariable control theory.
- Be able to extend the concepts of linear system control to real systems, including nonlinear ones.
Teaching hours
- Multivariable Automation - CMLecture24 hours
- Multivariable Automation - Practical WorkPractical Work6 p.m.
Mandatory prerequisites
- Linear algebra
- Linear systems
- Single-variable linear automatic
Recommended prerequisites:
- Programming in Python
Additional information
CM: 24 hours
Practical work: 6 p.m.