Subject: Optimal, nonlinear and advanced control (17.AU509 )
Native organizations units: Sub-department for Automatic Control and Systems Engineering
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Computing and Control Engineering (Godina: 1, Winter) |
| Master Academic Studies | Measurement-Information Technologies and Control Engineering (Godina: 1, Winter) |
| Master Academic Studies | Measurement-Information Technologies and Control Engineering (Godina: 1, Winter) |
Educational goal:
Students gain theoretical and practical knowledge about optimal, nonlinear and other advanced control systems and algorithms.
Educational outcome:
The acquired knowledge is used in solving practical engineering problems, but it can also serve as basis for further professional and scientific development.
Course content:
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
Teaching methods:
Lectures. Computer and Laboratory exercises. Projects. Consultations.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| Kanović, Ž., Rapaić, M., Jeličić, Z. | Evolutivni optimizacioni algoritmi u inženjerskoj praksi | 2017 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| Rapaić, M., Jeličić, Z. | Projektovanje linearnih regulatora i estimatora u prostoru stanja | 2014 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| 2008 | Dover | English | ||
| 1984 | English | |||
| 2002 | English |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Oral part of the exam | No | Yes | 30.00 |
| Homework | Yes | Yes | 10.00 |
| Homework | Yes | Yes | 10.00 |
| Homework | Yes | Yes | 10.00 |
| Project | Yes | Yes | 40.00 |
Lecturers:
doc. dr Bugarski Vladimir
Assistant Professor
Computational classes
vanr. prof. dr Kapetina Mirna
Associate Professor
Lectures
prof. dr Rapaić Milan
Full Professor
Lectures
Asistent Arsenović Jovana
Assistant - Master
Computational classes
prof. dr Jeličić Zoran
Full Professor
Lectures
Faculty of Technical Sciences
© 2024. Faculty of Technical Sciences.
Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.