WSS21201 Special Lecture on Data-Driven Smart Systems

Hiroshima University Syllabus

Japanese

Academic Year 2026Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Smart Innovation Program

Lecture Code WSS21201 Subject Classification Specialized Education

Subject Name データ駆動型スマートシステム特別講義

Subject Name
（Katakana）データクドウガタスマートシステムトクベツコウギ

Subject Name in
English Special Lecture on Data-Driven Smart Systems

Instructor See the class timetable.,WAKITANI SHIN

Instructor
(Katakana) ジュギョウジカンワリヲサンショウ,ワキタニ　シン

Campus Higashi-Hiroshima Semester/Term 1st-Year, First Semester, Intensive

Days, Periods, and Classrooms (Int) Inte

Lesson Style Lecture Lesson Style
(More Details) Face-to-face

Lecture

Credits 2.0 Class Hours/Week 　 Language of Instruction J : Japanese

Course Level 6 : Graduate Advanced

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 11 : Electrical, Systems, and Control Engineering

Eligible Students

Keywords Automatic Control, Frequency Response, Model-Based Control, Data-Driven Control, Motor 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 course is broadly divided into two parts.

[Part 1] (7.5 class sessions)
This part of the course deals with control system design for smart systems.
In addition to conventional model-based control system design, data-driven control system design has attracted increasing attention in recent years.
In model-based control design, modeling errors in the plant model used for design are a major issue. In contrast, data-driven control design may offer a way to avoid this issue by directly using data for controller design.
However, it is often difficult to evaluate the amount of information contained in the data and to determine the stability margins and upper limits of the control bandwidth of the closed-loop system.

To address these issues, this course introduces control system design methods in the frequency domain based on time-series data.
Specifically, the following topics will be covered with numerical examples using MATLAB:

Methods for transforming time-series data into the frequency domain
Control system design methods in both the time and frequency domains with consideration of stability margins
Application to positioning control systems

[Part 2] (7.5 class sessions)
The design of control systems requires broad knowledge, including modeling, controller design, and implementation methods.
In this part of the course, control systems for two-inertia resonant systems, tension and speed control systems, and hard disk drive systems are used as examples.
While discussing modeling, controller design methods, and implementation techniques, the course covers the following topics:

One-degree-of-freedom and two-degree-of-freedom control systems
From system identification to data-driven control
Hardware selection and implementation methods

Class Schedule [1] (7.5 frames)

[2] (7.5 frames)

Evaluation is mainly based on reports.

Text/Reference
Books,etc. Textbooks will be announced on a bulletin board later.

PC or AV used in
Class,etc. Handouts

(More Details) PowerPoint.

Learning techniques to be incorporated Post-class Report

Suggestions on
Preparation and
Review It is desirable that students have understood the contents of System Control I and System Control II taken in the undergraduate program. In particular, students are expected to review frequency-domain analysis such as transfer functions and Bode diagrams.

Requirements Basic knowledge on control engineering is required.

Grading Method Evaluation is based on the report tasks assigned for each of [1] and [2] above.

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other This course will be offered as an intensive lecture. However, some sessions may be scheduled on weekdays depending on the instructors’ availability. The schedule of the lectures will be announced in advance, so please make the necessary arrangements to attend. The lectures listed in [1] and [2] will be delivered by invited instructors from other universities.

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.

Academic Year	2026Year	School/Graduate School	Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Smart Innovation Program
Lecture Code	WSS21201	Subject Classification	Specialized Education
Subject Name	データ駆動型スマートシステム特別講義
Subject Name （Katakana）	データクドウガタスマートシステムトクベツコウギ
Subject Name in English	Special Lecture on Data-Driven Smart Systems
Instructor	See the class timetable.,WAKITANI SHIN
Instructor (Katakana)	ジュギョウジカンワリヲサンショウ,ワキタニ　シン
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, First Semester, Intensive
Days, Periods, and Classrooms	(Int) Inte
Lesson Style	Lecture	Lesson Style (More Details)	Face-to-face
Lecture
Credits	2.0	Class Hours/Week		Language of Instruction	J : Japanese
Course Level	6 : Graduate Advanced
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	11 : Electrical, Systems, and Control Engineering
Eligible Students
Keywords	Automatic Control, Frequency Response, Model-Based Control, Data-Driven Control, Motor 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 course is broadly divided into two parts. [Part 1] (7.5 class sessions) This part of the course deals with control system design for smart systems. In addition to conventional model-based control system design, data-driven control system design has attracted increasing attention in recent years. In model-based control design, modeling errors in the plant model used for design are a major issue. In contrast, data-driven control design may offer a way to avoid this issue by directly using data for controller design. However, it is often difficult to evaluate the amount of information contained in the data and to determine the stability margins and upper limits of the control bandwidth of the closed-loop system. To address these issues, this course introduces control system design methods in the frequency domain based on time-series data. Specifically, the following topics will be covered with numerical examples using MATLAB: Methods for transforming time-series data into the frequency domain Control system design methods in both the time and frequency domains with consideration of stability margins Application to positioning control systems [Part 2] (7.5 class sessions) The design of control systems requires broad knowledge, including modeling, controller design, and implementation methods. In this part of the course, control systems for two-inertia resonant systems, tension and speed control systems, and hard disk drive systems are used as examples. While discussing modeling, controller design methods, and implementation techniques, the course covers the following topics: One-degree-of-freedom and two-degree-of-freedom control systems From system identification to data-driven control Hardware selection and implementation methods
Class Schedule	[1] (7.5 frames) [2] (7.5 frames) Evaluation is mainly based on reports.
Text/Reference Books,etc.	Textbooks will be announced on a bulletin board later.
PC or AV used in Class,etc.	Handouts
(More Details)	PowerPoint.
Learning techniques to be incorporated	Post-class Report
Suggestions on Preparation and Review	It is desirable that students have understood the contents of System Control I and System Control II taken in the undergraduate program. In particular, students are expected to review frequency-domain analysis such as transfer functions and Bode diagrams.
Requirements	Basic knowledge on control engineering is required.
Grading Method	Evaluation is based on the report tasks assigned for each of [1] and [2] above.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other	This course will be offered as an intensive lecture. However, some sessions may be scheduled on weekdays depending on the instructors’ availability. The schedule of the lectures will be announced in advance, so please make the necessary arrangements to attend. The lectures listed in [1] and [2] will be delivered by invited instructors from other universities.
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.

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