Type of studies | Title |
---|---|
Master Academic Studies | Measurement-Information Technologies and Control Engineering (Year: 1, Semester: Winter) |
Master Academic Studies | Computing and Control Engineering (Year: 1, Semester: Winter) |
Category | Theoretical-methodological |
Scientific or art field | Automatic Control and System Engineering |
ECTS | 6 |
Students gain theoretical and practical knowledge about optimal, nonlinear and other advanced control systems and algorithms.
The acquired knowledge is used in solving practical engineering problems, but it can also serve as basis for further professional and scientific development.
1. Introduction to advanced control systems 2. Phase diagrams. Characteristic nonlinearities of physical systems 3. Stability of nonlinear systems. Lyapunov direct method 4. Linearization (at equilibrium and by feedback) 5. State regulators - pole placement 6. Introduction to optimal control - Maximum principle 7. Introduction to dznamic programming 8. Linear optimal regulators - LQR 9. Variable structure control and sliding modes 10. State and disturbance estimation 11. Introduction to adaptive control systems 12. Estimation of process parameters 13. Indirect adaptive control 14. Direct adaptive control
Lectures. Computer and Laboratory exercises. Projects. Consultations.
Authors | Title | Year | Publisher | Language |
---|---|---|---|---|
1984 | English | |||
2008 | Dover | English | ||
2002 | English |
Course activity | Pre-examination | Obligations | Number of points |
---|---|---|---|
Oral part of the exam | No | Yes | 30.00 |
Project | Yes | Yes | 40.00 |
Homework | Yes | Yes | 10.00 |
Homework | Yes | Yes | 10.00 |
Homework | Yes | Yes | 10.00 |
Full Professor
Associate Professor
Full Professor
Assistant Professor
Assistant - Master
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© 2024. Faculty of Technical Sciences.