Automatic Control
This is a grouped Moodle course. It consists of several separate courses that share learning materials, assignments, tests etc. Below you can see information about the individual courses that make up this Moodle course.
Automatic Control (Main course) A3B35ARI
Credits | 7 |
Semesters | Summer |
Completion | Assessment + Examination |
Language of teaching | Czech |
Extent of teaching | 4P+2L |
Annotation
Foundation course of automatic control. Introduction to basic concepts and properties of dynamic systems of physical, engineering, biological, economics, robotics and informatics nature. Basic principles of feedback and its use as a tool for altering the behavior of systems and managing uncertainty. Classical and modern methods for analysis and design of automatic control systems. Students specialized in systems and control will build on these ideas and knowledge in the advanced courses to follow. Students of other branches and programs will find out that control is a inspiring, ubiquitous and entertaining field worth of a future cooperation.
Study targets
No data.
Course outlines
1.Introduction
2.System Modeling
3.Dynamic Behavior
4.System Properties
5.Stability
6.Feedback
7.Root Locus
8.Frequency domain methods
9.State space methods
10.Polynomial methods
11.Digital Control
12.Robust Control
13.Nonlinear Systems
14.More Complex systems
2.System Modeling
3.Dynamic Behavior
4.System Properties
5.Stability
6.Feedback
7.Root Locus
8.Frequency domain methods
9.State space methods
10.Polynomial methods
11.Digital Control
12.Robust Control
13.Nonlinear Systems
14.More Complex systems
Exercises outlines
1.Safety and other rules, Introduction to lab experiments
2.Software: Matlab, System Control Toolbox, Polynomial Toolbox, Simulink 3.Nonlinearity and linearization
4.Systems, models, identification, analysis
5.Lab assignment - Identification
6.Lab assignment - Identification and analysis
7.Practical controller design
8.Lab assignment - Control design
9.Lab assignment - Control design
10.Presentation of the lab assignment result
11.Discrete-time systems and models
12.Simulation assignment
13.Presentation of the simulation assignment result
14.Practical test: Analysis and design
.
2.Software: Matlab, System Control Toolbox, Polynomial Toolbox, Simulink 3.Nonlinearity and linearization
4.Systems, models, identification, analysis
5.Lab assignment - Identification
6.Lab assignment - Identification and analysis
7.Practical controller design
8.Lab assignment - Control design
9.Lab assignment - Control design
10.Presentation of the lab assignment result
11.Discrete-time systems and models
12.Simulation assignment
13.Presentation of the simulation assignment result
14.Practical test: Analysis and design
.
Literature
1.Richard C Dorf, Robert H. Bishop: Modern Control Systems. Prentice Hall;
11 edition, 2007. ISBN: 0132270285
2.J. David Powell, Gene F. Franklin, Abbas Emami-Naeini: Feedback Control of
Dynamic Systems. Prentice Hall; 5 ed., 2005, ISBN: 0131499300
3.Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007.
ISBN-10:0471794759
4.Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN-10:
1556179421
5.Karl J. Aström, Bjorn Wittenmark: Computer-Controlled Systems. Prentice
Hall 3 ed. 1996. ISBN-10: 0133148998
11 edition, 2007. ISBN: 0132270285
2.J. David Powell, Gene F. Franklin, Abbas Emami-Naeini: Feedback Control of
Dynamic Systems. Prentice Hall; 5 ed., 2005, ISBN: 0131499300
3.Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007.
ISBN-10:0471794759
4.Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN-10:
1556179421
5.Karl J. Aström, Bjorn Wittenmark: Computer-Controlled Systems. Prentice
Hall 3 ed. 1996. ISBN-10: 0133148998
Requirements
Stránky předmětu: https://moodle.fel.cvut.cz/
Automatic Control AD3B35ARI
Credits | 7 |
Semesters | Summer |
Completion | Assessment + Examination |
Language of teaching | Czech |
Extent of teaching | 28KP+6KC |
Annotation
Foundation course of automatic control. Introduction to basic concepts and properties of dynamic systems of physical, engineering, biological, economics, robotics and informatics nature. Basic principles of feedback and its use as a tool for altering the behavior of systems and managing uncertainty. Classical and modern methods for analysis and design of automatic control systems. Students specialized in systems and control will build on these ideas and knowledge in the advanced courses to follow. Students of other branches and programs will find out that control is a inspiring, ubiquitous and entertaining field worth of a future cooperation.
Study targets
No data.
Course outlines
1.Introduction
2.System Modeling
3.Dynamic Behavior
4.System Properties
5.Stability
6.Feedback
7.Root Locus
8.Frequency domain methods
9.State space methods
10.Polynomial methods
11.Digital Control
12.Robust Control
13.Nonlinear Systems
14.More Complex systems
2.System Modeling
3.Dynamic Behavior
4.System Properties
5.Stability
6.Feedback
7.Root Locus
8.Frequency domain methods
9.State space methods
10.Polynomial methods
11.Digital Control
12.Robust Control
13.Nonlinear Systems
14.More Complex systems
Exercises outlines
1.Safety and other rules, Introduction to lab experiments
2.Software: Matlab, System Control Toolbox, Polynomial Toolbox, Simulink 3.Nonlinearity and linearization
4.Systems, models, identification, analysis
5.Lab assignment - Identification
6.Lab assignment - Identification and analysis
7.Practical controller design
8.Lab assignment - Control design
9.Lab assignment - Control design
10.Presentation of the lab assignment result
11.Discrete-time systems and models
12.Simulation assignment
13.Presentation of the simulation assignment result
14.Practical test: Analysis and design
.
2.Software: Matlab, System Control Toolbox, Polynomial Toolbox, Simulink 3.Nonlinearity and linearization
4.Systems, models, identification, analysis
5.Lab assignment - Identification
6.Lab assignment - Identification and analysis
7.Practical controller design
8.Lab assignment - Control design
9.Lab assignment - Control design
10.Presentation of the lab assignment result
11.Discrete-time systems and models
12.Simulation assignment
13.Presentation of the simulation assignment result
14.Practical test: Analysis and design
.
Literature
1.Richard C Dorf, Robert H. Bishop: Modern Control Systems. Prentice Hall;
11 edition, 2007. ISBN: 0132270285
2.J. David Powell, Gene F. Franklin, Abbas Emami-Naeini: Feedback Control of
Dynamic Systems. Prentice Hall; 5 ed., 2005, ISBN: 0131499300
3.Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007.
ISBN-10:0471794759
4.Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN-10:
1556179421
5.Karl J. Aström, Bjorn Wittenmark: Computer-Controlled Systems. Prentice
Hall 3 ed. 1996. ISBN-10: 0133148998
11 edition, 2007. ISBN: 0132270285
2.J. David Powell, Gene F. Franklin, Abbas Emami-Naeini: Feedback Control of
Dynamic Systems. Prentice Hall; 5 ed., 2005, ISBN: 0131499300
3.Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007.
ISBN-10:0471794759
4.Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN-10:
1556179421
5.Karl J. Aström, Bjorn Wittenmark: Computer-Controlled Systems. Prentice
Hall 3 ed. 1996. ISBN-10: 0133148998
Requirements
Stránky předmětu: https://moodle.fel.cvut.cz/
Feed-Back Control Systems A8B35FCS
Credits | 6 |
Semesters | Summer |
Completion | Assessment + Examination |
Language of teaching | Czech |
Extent of teaching | 4P+2L |
Annotation
Foundation course of automatic control. Introduction to basic concepts and properties of dynamic systems of physical, engineering, biological, economics, robotics and informatics nature. Basic principles of feedback and its use as a tool for altering the behavior of systems and managing uncertainty. Classical and modern methods for analysis and design of automatic control systems. Students specialized in systems and control will build on these ideas and knowledge in the advanced courses to follow. Students of other branches and programs will find out that control is a inspiring, ubiquitous and entertaining field worth of a future cooperation.
Study targets
No data.
Course outlines
1.Introduction
2.System Modeling
3.Dynamic Behavior
4.System Properties
5.Stability
6.Feedback
7.Root Locus
8.Frequency domain methods
9.State space methods
10.Polynomial methods
11.Digital Control
12.Robust Control
13.Nonlinear Systems
14.More Complex systems
2.System Modeling
3.Dynamic Behavior
4.System Properties
5.Stability
6.Feedback
7.Root Locus
8.Frequency domain methods
9.State space methods
10.Polynomial methods
11.Digital Control
12.Robust Control
13.Nonlinear Systems
14.More Complex systems
Exercises outlines
No data.
Literature
1. Richard C Dorf, Robert H. Bishop: Modern Control Systems. Prentice Hall; 11 edition, 2007. ISBN:
0132270285
2. J. David Powell, Gene F. Franklin, Abbas Emami-Naeini: Feedback Control of Dynamic Systems. Prentice
Hall; 5 ed., 2005, ISBN: 0131499300
3. Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007. ISBN-10:0471794759
4. Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN-10: 1556179421
5. Karl J. Aström, Bjorn Wittenmark: Computer-Controlled Systems. Prentice Hall 3 ed. 1996. ISBN-10:
0133148998
0132270285
2. J. David Powell, Gene F. Franklin, Abbas Emami-Naeini: Feedback Control of Dynamic Systems. Prentice
Hall; 5 ed., 2005, ISBN: 0131499300
3. Norman S. Nise: Control Systems Engineering. Wiley; 5 ed. 2007. ISBN-10:0471794759
4. Karl J. Aström, Tore Hägglund: Advanced PID Control. ISA 2005. ISBN-10: 1556179421
5. Karl J. Aström, Bjorn Wittenmark: Computer-Controlled Systems. Prentice Hall 3 ed. 1996. ISBN-10:
0133148998
Requirements
No data.
Responsible for the data validity:
Study Information System (KOS)