Faculty of Technical Sciences

Subject: System Modeling and Simulation (17.BMI124)

Native organizations units: Sub-department for Automatic Control and Systems Engineering
General information:
 
Category Theoretical-methodological
Scientific or art field Automatic Control and System Engineering
Interdisciplinary No
ECTS 6
Educational goal:

Mastering theoretical and practical basics of system modeling and simulation.

Educational outcome:

- Software package for system modeling and simulation, - role of modelling and simulation and their practical applications, - principles of dynamical systems modelling, - understanding methods and techniques for dinamic models analysis and syntheses, - ability to describe systems by differential equations, - ability to perform model simulation, - acquired knowledge about methods for identification of unknown model parameters. Acquired knowledge can be used in solving specific engineering problems, and also present a basis for further understanding of professional courses.

Course content:

Place and role of modelling and simulation, practical applications. Theory of modelling and simulation, basic principles and mathematical modelling tools. Mathematical models of time continuous and discrete systems. Examples of model forming: mechanical, thermal, hydrodynamic, electrical and electro-mechanical systems. Analogies between size and parameters. Electromechanical analogies. Model linearization. Simulation languages. Simulation on digital computer. System identification. Parameter identification.

Teaching methods:

Lectures. Computer practice. Consultations.

Literature:
Authors Title Year Publisher Language
Close, C.M., Frederick, D.K., Newell, J.C. Modeling and Analysis of Dynamic Systems 2001 John Wiley & Sons, New York English
Moore, H. MATLAB for Engineers 2015 Pearson International, Boston English
Erdeljan, A., Čapko, D. Modelovanje i simulacija sistema sa primerima 2015 Fakultet tehničkih nauka, Novi Sad Serbian language
Law, A. Simulation modeling and analysis 2015 McGraw-Hill Education, New York English
Ljung, L. System Identification : Theory for the user 1987 Prentice-Hall, New Jersey English
Čapko, D., Vukmirović, S., Bojanić, D. Odabrana poglavlja iz modeliranja i simulacije sistema u Matlab-u 2016 Fakultet tehničkih nauka, Novi Sad Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Complex exercises Yes Yes 5.00
Coloquium exam No No 20.00
Complex exercises Yes Yes 5.00
Coloquium exam No No 20.00
Complex exercises Yes Yes 5.00
Complex exercises Yes Yes 5.00
Oral part of the exam No Yes 30.00
Test Yes Yes 10.00
Practical part of the exam - tasks No Yes 40.00
Lecturers:

Asistent Njegovan Sava

Assistant - Master

Computational classes
API Image

prof. dr Čapko Darko

Full Professor

Lectures

Asistent Kičić Aleksandar

Assistant - Master

Computational classes

Faculty of Technical Sciences

© 2024. Faculty of Technical Sciences.

Contact:

Address: Trg Dositeja Obradovića 6, 21102 Novi Sad

Phone:  (+381) 21 450 810
(+381) 21 6350 413

Fax : (+381) 21 458 133
Emejl: ftndean@uns.ac.rs

© 2024. Faculty of Technical Sciences.