| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Innovation and Practice for Smart Society (Master's Course) |
| Lecture Code |
WTCB0301 |
Subject Classification |
Specialized Education |
| Subject Name |
Advanced Data-driven Systems Design |
Subject Name
（Katakana） |
|
Subject Name in
English |
Advanced Data-driven Systems Design |
| Instructor |
KINOSHITA TAKUYA |
Instructor
(Katakana) |
キノシタ タクヤ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, Intensive |
| Days, Periods, and Classrooms |
(1st) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
B
:
Japanese／English |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
11
:
Electrical, Systems, and Control Engineering |
| Eligible Students |
Students in the Graduate School of Innovation and Practice for Smart Society |
| Keywords |
data-driven control, control system design, PID control |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
This lecture will cover the fundamentals of data-driven control systems. The main contents of this lecture are as follows.
(1) Basic concept of data-driven control methods for linear systems
(2) Basic concept of data-driven control methods for nonlinear systems
(3) Industrial application case study |
| Class Schedule |
*Scheduled to be held as an intensive lecture. The specific date and time will be communicated separately on the Momiji bulletin board.
Lesson 1: Basic Concepts of Automatic Control
Lesson 2: System modeling and step response (1)
Lesson 3: System modeling and step response (2)
Lesson 4: Basics of numerical simulation (Matlab/Simulink exercise)
Lesson 5: Numerical Simulation Exercise (Step Response)
Lesson 6: Control system design: P control
Lesson 7: Control system design: PI control
Lesson 8: Control system design: PID control
Lesson 9: Numerical simulation exercise (PID control)
Lesson 10: Basic concept of data-driven control
Lesson 11: Data-driven control: FRIT method
Lesson 12: Numerical simulation exercise (FRIT method)
Lesson 13: Experiments on actual equipment
Lesson 14: Basic concepts of database-driven control
Lesson 15: Industrial application case study (final report) |
Text/Reference
Books,etc. |
Power Point materials are used in the lecture. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Power Point |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
PC exercises will be conducted to deepen understanding of the lecture content. Therefore, it is effective to keep this in mind when preparing for and reviewing the lectures. |
| Requirements |
It is advisable to take lectures on the basics of differentiation and integration, linear algebra, and control engineering.
Since MATLAB / Simulink (Version is 2020a) is used in the exercise, consult with the instructor in advance if you cannot install it on your PC. |
| Grading Method |
Exercises (including computer exercises) 40%, final report 60% |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
Scheduled to be held as an intensive lecture. The specific date and time will be communicated separately on the Momiji bulletin board. |
| Other |
Computer exercises will be given as part of the lecture. Bring your computer. |
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |