Erasmus ECTS Information Package

Erasmus ECTS Information Package
Faculty of EEEA
0309 Theory of Experiments
ECTS credits: 5
Weekly classes: 3lec + 0sem + 0labs + 1ps
Assessment: exam
Type of exam: written
Departments involved:
Department of Automatics and Mechatronics
Faculty of Electrical Engineering, Electronics and Automation
Lecturers:
1. Prof. Atanas Leshkov Mitkov, MEng, PhD, Dept. of Agricultural Machines, tel.: 082 888 553,
E-mail: amitkov@uni-ruse.bg
2. Assoc. Prof. Todor Tzanev Todorov, MEng, PhD, Dept. of Numerical Methods and Statistics,
tel.: 082 888 536, E-mail: ttodorov@uni-ruse.bg
Abstract:
The course includes the main methods for experiment planning in the field of engineering, processing and
analysis of results. In this connection the objects are classified according to the number of control factors
in three groups – with no control factors, with one control factor and with more than one control factors.
For the first group the methods of statistical estimation and of checking statistical hypothesis are
considered. For the second and the third group the methods of single- and multi-factor regression and
variances analysis are considered.
Course content:
Cybernetic approach in studying objects experimentally. The role of experiment in research. Types of
experiments. Studying objects with no external influence. Studying single-factor objects. Single-factor
regression analysis. Single-factor variances analysis. Studying multi-factor objects. Multi-factor regression
analysis. Multi-factor variances analysis. Planning regression experiments. First degree plans. Second
degree plans. Data processing in planned experiments. Planning experiments for variances analysis.
Optimising multi-factor experiments. Statistical optimisation. Software products experimental data
processing.
Teaching and assessment:
The lectures follow the traditional ways of delivery. The practice sessions have an investigative character.
The exam is written and includes two questions and solving a problem.
0312 Control Systems – 1
ECTS credits: 5
Weekly classes: 3lec + 0sem + 0labs + 2ps
Assessment: exam
Type of exam: written
Departments involved:
Department of Automatics and Mechatronics
Faculty of Electrical Engineering, Electronics and Automation
Lecturers:
1. Assoc. Prof. Georgi Lyubomirov Lehov, MEng, PhD, Dept. of Automatics and Mechatronics,
tel.: 082 888 745, E-mail: glehov@uni-ruse.bg
2. Assoc. Prof. Donka Ilieva Ivanova, MEng, PhD, Dept. of Automatics and Mechatronics,
tel.: 082 888 266, E-mail: divanova@uni-ruse.bg
3. Principal Assistant Maria Gerasimova Popova, MEng, Dept. of Automatics and Mechatronics,
tel.: 082 888 745, E-mail: mgpopova@uni-ruse.bg
Abstract:
The course aims at acquainting the students with modern control system theory and developing practical
skills for analysis and synthesis of such systems using MATLAB. Prerequisites to this course are the
Control Theory courses of the Bachelor degree programme.
Course content:
Linear multivariable control systems: state-space description, basic properties, design methods. Robust
control systems: uncertainty modelling, robust stability and robust performance analysis, design of H ∞
optimal controllers, μ -synthesis. Adaptive control systems. Application of artificial neural networks and
fuzzy logic in control systems.
Teaching and assessment:
The lectures present the theoretic aspects of the addressed problems and illustrate them with appropriate
examples. The aim of the exercises is to teach the students to apply creatively the acquired knowledge.
They are conducted with the aid of MATLAB software system. The students’ progress is checked in each
exercise throughout the semester. The course ends with a written exam, which consists of problem solving
and question answering. The students have to attend all the exercises in order to be allowed to take the
exam. The mark from the practical work is taken into consideration when forming the final course mark.
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