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Course info
KRP / IDSAR
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Course description
Department/Unit / Abbreviation
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KRP
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IDSAR
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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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Selected Chapters from Control Theory
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Form of course completion
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Examination
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Form of course completion
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Examination
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Accredited / Credits
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Yes,
0
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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Course credit prior to examination
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No
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Course credit prior to examination
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No
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Automatic acceptance of credit before examination
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No
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Included in study average
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NO
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Language of instruction
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Czech, English
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Occ/max
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Automatic acceptance of credit before examination
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No
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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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NO
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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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No
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Semester taught
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Winter + Summer
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Semester taught
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Winter + Summer
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Minimum (B + C) students
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not determined
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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, English
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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 |
S|N |
Periodicity |
každý rok
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Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
No
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Fundamental theoretical course |
No
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Evaluation scale |
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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N/A
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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
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XLS
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Course objectives:
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The aim is to inform students about advanced methods of control design of linear dynamic continuous systems in discrete-time area. Attention is paid to next areas: adaptive control of single-input single-output systems (Model Reference Control, suboptimal control with on-line identification), stochastic systems, Linear Quadratic (Gaussian) control and state estimation, predictive control of multi-input multi-output systems
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Requirements on student
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Working-out of dated up work
Exam
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Content
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Adaptive control of single-input single-output systems. Model Reference Control, Gain Scheduling, suboptimal control with on-line identification. Linear Quadratic (Gaussian) control and state estimation. Control of multi-input multi-output linear systems. Predictive Control based on state space model.
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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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Recommended:
ASTRÖM, K. J.; WITTENMARK, B. Adaptive Control. Addison-Wesley Publishing, 1995.
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Recommended:
OGATA, K. Discrete-Time Control Systems. Prentice Hall, 1995..
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Recommended:
CAMACHO, E. F., BORDONS, C. Model Predictive Control. Springer Verlag, 1999..
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Recommended:
OGATA, K. Modern Control Engineering. Prentice Hall, 1990..
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Recommended:
HAVLENA, V.; ŠTECHA, J. Moderní teorie řízení. Vydavatelství ČVUT, Praha, 2000.
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Recommended:
Maciejowski, J. M. Predictive Control with Constrains. 2002, Pearson Education Ltd., Essex.
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Prerequisites - other information about course preconditions |
Knowledge of differential calculus, linear algebra and basic of process control is needed.
Knowledge of MATLAB/SIMULINK is needed.
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Competences acquired |
Students get knowledge about design of adaptive control and MIMO linear systems control. |
Teaching methods |
- Work with text (with textbook, with book)
- Methods of individual activities
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Assessment methods |
- Oral examination
- Home assignment evaluation
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