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Course info
KKY / AŘ
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Course description
Department/Unit / Abbreviation
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KKY
/
AŘ
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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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Automatic Control
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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,
6
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
3
[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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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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22 / -
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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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Winter semester
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Semester taught
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Winter 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 |
No
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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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None
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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/SM
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Courses depending on this Course
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KKY/ŘISZ, KKY/SZTŘ, KKY/TŘSZ
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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 main objective of the course is to present a brief but not oversimplified interpretation of current knowledge in the field of automatic control which integrates traditional approaches with modern theory and emphasizes the basic principles.
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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 the course topics are required.
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Content
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1. Modeling of natural and artificial systems.
2. Dynamic systems; description; stability; qualitative properties; differential equations.
3. Linear systems, linear algebra for automatic control, reduction of complexity.
4. Feedback, state, output and dynamic output feedback.
5. Jordan form assignment by state and output feedback.
6. Transfer function; sensitivity functions; fundamental limitations of the linear feedback.
7. Frequency analysis and synthesis of feedback systems.
8. Model uncertainty, parametric, structural and non-structural uncertainty.
9. Robustness and fragility of feedback systems.
10. Frequency synthesis of controllers with limited complexity, PID controller, automatic tuning.
11. Design of robust controllers for multivariable systems.
12. Software tools for the design of control systems using the "Model-Based Design - MBD"
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Activities
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Fields of study
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Guarantors and lecturers
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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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Practical training (number of hours)
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26
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Preparation for an examination (30-60)
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50
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Graduate study programme term essay (40-50)
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40
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Contact hours
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39
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Preparation for formative assessments (2-20)
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10
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Total
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165
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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 z matematické analýzy, lineární algebry, lineárních obyčejných diferenciálních rovnic, Laplaceovy a Fourierovy transformace
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disponovat základními znalostmi z teorie linearních systémů
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disponovat základními znalostmi z matematického modelování a simulace |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
aktivně používat software MATLAB / Simulink
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tvořit modely zpětnovazebních řídicích systémů |
samostatně analyzovat vlastnosti lineárních časově invariantních systémů |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
formulovat problém robustní stability zpětnovazebního systému s nestrukturální neurčitostí |
formulovat problém robustní kvality řízení pro řízený systém s nestrukturální neurčitostí |
formulovat úlohu navrhu algoritmu řízení pro řízený systém s nestrukturální neurčitostí |
posoudit fundamentální omezení zpětnovazebního regulátoru pro různé typy řízených systémů |
popsat způsoby řešení úlohy návrhu robustního regulátoru |
Skills - skills resulting from the course: |
vytvořit model řízeného systému s nestruktirální neurčitostí |
ověřit podmínku robustní stability pro množinový model řízeného systému |
navrhnout robustní regulátor metodou tvarování frekvenční charakteristiky otevřeného systému |
navrhnout robustní regulátor řešením úlohy smíšené citlivostní funkce |
ověřit podmínku robustní kvality řízení pro množinový model řízeného systému |
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: |
Combined exam |
Test |
Seminar work |
Skills - skills achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Individual presentation at a seminar |
Combined exam |
Competences - competence achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Seminar work |
Combined exam |
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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 |
Self-study of literature |
Skills - the following training methods are used to achieve the required skills: |
Task-based study method |
Laboratory work |
Practicum |
Competences - the following training methods are used to achieve the required competences: |
One-to-One tutorial |
Laboratory work |
Students' portfolio |
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