13E053MIP - System Modeling and Identification

Course specification
Course title		System Modeling and Identification
Acronym		13E053MIP
Study programme		Electrical Engineering and Computing
Module
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Aleksandra Krstić
Lecturer/Associate (for practice)		asst. Aleksa Stojić, electrical and computer engineer
Lecturer/Associate (for OTC)		asst. Aleksa Stojić, electrical and computer engineer Maša Tiosavljević, electrical and computer engineer Aleksa Jovanović, electrical and computer engineer
ESPB		6.0	Status	elective
Condition		NONE
The goal		Introduce students to the fundamentals of continuous and discrete systems modeling and basic identification procedures; Tools for signals and systems simulation and identification, using by time, frequency and complex domain; Understanding and using statistical approaches for model structure selection, model validation and parametric and nonparametric systems identification;
The outcome		The student is competent to apply different techniques and use different software tools in order to modeling and identification of signals and systems. The student is familiar with the most commonly used methods of nonparametric and parametric identification.
Contents
URL to the subject page		https://automatika.etf.bg.ac.rs/sr/13e053mip
URL to lectures		https://teams.microsoft.com/l/team/19%3aCUdt_a3a4q5_PPTQ7TSZmYxE2NeMAt-3kQQ6QMmv1UA1%40thread.tacv2/conversations?groupId=3dfda4c5-783e-4693-ae66-a6aedcd35a3a&tenantId=1774ef2e-9c62-478a-8d3a-fd2a495547ba
Contents of lectures		Modeling: model building approaches, mathematical models, bond graphs. Nonparametric identification.Fourier analysis, persistency of excitation. Parametric identification: prediction error methods, prediction models, least - squares method. Model validation. Numerical solution of differential equations.
Contents of exercises		Through examples, tasks and problems, the student learns how to apply the theorems and concepts learned in lectures.Student will learn to use the mathematical software and to solve practical tasks and problems.
Literature
Modeling, Identification and Simulation of Dynamical Systems, P.P.J. van den Bosch, A.C. van der Klauw, CRC Press, 1994. System Identification: Theory for the User, Ljung L, Prentice-Hall, Englewood Cliffs, New Jersey, 1987.
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		Lectures (45), exercises (15), discussions, help with assignments and projects using the computer (15).
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	40
Practical lessons		20	Oral examination	0
Projects
Colloquia		40
Seminars		0