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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Undergraduate major in Computer Science
- Instructor(s)
- Miyake Yoshihiro Ora Hiroki
- Class Format
- Lecture (ZOOM)
- Media-enhanced courses
- Day/Period(Room No.)
- Tue1-2(W242) Fri1-2(W242)
- Group
- -
- Course number
- CSC.T373
- Credits
- 2
- Academic year
- 2020
- Offered quarter
- 3Q
- Syllabus updated
- 2020/9/29
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
Cyber physical systems (CPSs) have received great attention as technologies of Internet of Things (IoT) advance. Therefore, to learn information engineering, you need to deeply understand not only computers (cyber) but also real world (physical) modeling. In this course, you will learn the foundation of expression and analysis of real world as a dynamical system. In particular, you will obtain basic knowledge on state equations, system expression of transfer functions, and some analysis methods.
Student learning outcomes
The purpose is to:
1) understand the whole picture of dynamical systems;
2) learn the foundation of representation and analysis of dynamical systems;
3) learn a method for modeling dynamical systems using state space and transfer functions;
4) learn a method for analyzing dynamical systems using state space and transfer functions; and
5) visualize behaviors of dynamical systems by numerical analysis.
Keywords
Dynamical systems, System representation, System analysis, State space, State equations, Modeling, Isomorphism, Primary system, Secondary system, Stability, Transfer function, Block diagram, Transient response, Frequency response, Numerical analysis, Nonlinear system, Cyber physical system
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
This course is mainly composed of lectures. In addition, you will do a little exercise or test to deeply understand the content of the lectures.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction | Why do you study dynamical systems? |
| Class 2 | State space representation 1 | State equations, Review of linear algebra |
| Class 3 | State space representation 2 | Solution of state equation, State space and trajectory |
| Class 4 | State space representation 3 | Stability, Controllability and observability |
| Class 5 | State space representation 4 | State feedback control, Observer |
| Class 6 | test | |
| Class 7 | Transfer function representation 1 | Transfer function, Review of Laplace transform |
| Class 8 | Transfer function representation 2 | System response characteristics, Stability and pole |
| Class 9 | Transfer function representation 3 | Frequency response |
| Class 10 | Transfer function representation 4 | Stability of feedback system |
| Class 11 | test | |
| Class 12 | Numerical analysis 1 | Feedback control system |
| Class 13 | Numerical analysis 2 | Expansion to nonlinear systems |
| Class 14 | Conclusion | Information engineering and dynamical systems |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
None
Reference books, course materials, etc.
Lecture materials will be handed out each time.
Assessment criteria and methods
Your grade for the course will be based on the following components: reports (50%) and tests (50%).
Related courses
- CSC.T362 ： Numerical Analysis
- CSC.T351 ： System Analysis
- CSC.T374 ： Control Systems
- CSC.T342 ： Problem Solving and Decision Making
- ART.T456 ： Non-linear Dynamical Systems
- ART.T452 ： Modeling of Continuous Systems
- ART.T452 ： Modeling of Continuous Systems
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
Contact information (e-mail and phone) Notice : Please replace from "[at]" to "@"(half-width character).
Yoshihiro Miyake email: miyake[at]c.titech.ac.jp, ext.: 5656
Ken-ichiro Ogawa email: ogawa[at]c.titech.ac.jp, ext.: 5656
Other
None
