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Course info
KKY / SM
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Course description
Department/Unit / Abbreviation
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KKY
/
SM
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Systems and Models
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Form of course completion
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Exam
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Form of course completion
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Exam
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Accredited / Credits
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Yes,
4
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
2
[Hours/Week]
Tutorial
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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27 / -
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6 / -
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1 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
Yes
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Fundamental course |
Yes
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Fundamental theoretical course |
Yes
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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KKY/TS
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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KKY/LS1 and KKY/LS2 and KKY/MATL and KKY/SIMUL
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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The aim of the course "Systems and Models" is to give an introduction to the subject of modeling and simulation of processes, machines and natural systems for analysis and control purposes. Two approaches for linear and nonlinear model building are used - first-principles models and system identification. These approaches are illustrated on the examples of thermal, electrical, mechanical and mechatronic systems. The properties such as stability, controllability and observability of systems and methods of simulation are also considered. Widely accepted tools for simulation like Simulink, Sim-Mechanics and Modelica are used for illustration purposes. Finally, the brief introduction to model based control is provided.
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Requirements on student
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To obtain the credit, an inspection test and elaboration of seminar work are required.
For the final exam, the understanding and ability to apply of the course topics are required.
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Content
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1. Introduction (process model, system feedback).
2. Mathematical tools to describe natural phenomena (differential equations, integral transform, signal and bond graphs).
3. Systems with concentrated parameters (simple electrical and mechanical systems).
4. System with distributed parameters (thermal systems).
5. Methods of making models based on the first principles (Newton-Euler, d'Alembert-Lagrange, bond graphs).
6. Model identification (method of least squares, parametric and nonparametric methods).
7. Properties of linear and nonlinear systems (the state of equilibrium, linearization, stability, controllability, observability, decomposition of the system).
8. Examples of models (the double inverted pendulum, flexible systems) and simulation (Simulink, Sim-Mechanics, Modelica).
9. Change the dynamic properties of the system by feedback (Evensova method, modal control).
10. Micro-electro-mechanical systems.
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Activities
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Fields of study
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Guarantors and lecturers
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Guarantors:
Prof. Ing. Miloš Schlegel, CSc. (100%),
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Lecturer:
Prof. Ing. Miloš Schlegel, CSc. (100%),
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Tutorial lecturer:
Ing. Michal Brabec (100%),
Ing. Lukáš Dostálek (100%),
RNDr. Jana Königsmarková (100%),
Ing. Miroslav Mertl (100%),
Ing. Tomáš Myslivec (100%),
Ing. Lukáš Slavíček (100%),
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Contact hours
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26
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Practical training (number of hours)
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26
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Undergraduate study programme term essay (20-40)
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20
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Preparation for an examination (30-60)
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40
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Preparation for formative assessments (2-20)
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8
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Total
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120
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
disponovat základními znalostmi matematické analýzy |
disponovat základními znalostmi lineární algebry |
disponovat základními poznatky středoškolské fyziky |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
používat základní metody lineární algebry a matematické analýzy |
používat základní poznatky středoškolské fyziky |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
disponovat znalostí základních technik modelování dynamických systémů |
disponovat úvodními znalostmi teorie lineárních časově invariantních dynamických systémů |
charakterizovat pojmy stav, stabilita,pozorovatelnosti, řiditelnosti systému |
disponovat znalostmi metod návrhu lineární stavové zpětné vazby |
Skills - skills resulting from the course: |
vytvářet matematické modely reálných soustav |
počítačově simulovat dynamické systémy |
navrhovat jednoduché zpětnovazební systémy |
aplikovat prostředky MATLAB/SimMechanics |
Competences - competences resulting from the course: |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Oral exam |
Test |
Individual presentation at a seminar |
Skills - skills achieved by taking this course are verified by the following means: |
Written exam |
Individual presentation at a seminar |
Competences - competence achieved by taking this course are verified by the following means: |
Oral exam |
Written exam |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Laboratory work |
Task-based study method |
One-to-One tutorial |
Skills - the following training methods are used to achieve the required skills: |
Interactive lecture |
Task-based study method |
Individual study |
Competences - the following training methods are used to achieve the required competences: |
Lecture supplemented with a discussion |
Task-based study method |
Practicum |
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