WSG30201 Special Lecture on Electrical, Systems, and Control Engineering B

Hiroshima University Syllabus

Japanese

Academic Year 2025Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Electrical, Systems, and Control Engineering Program

Lecture Code WSG30201 Subject Classification Specialized Education

Subject Name 電気システム制御特別講義Ｂ

Subject Name
（Katakana）デンキシステムセイギョトクベツコウギビー

Subject Name in
English Special Lecture on Electrical, Systems, and Control Engineering B

Instructor See the class timetable.

Instructor
(Katakana) ジュギョウジカンワリヲサンショウ

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 IoT, Society 5.0, digital technology, adaptive learning control, advanced control, extreme value 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 TThis lecture will be divided into three main parts.
[1] Signal processing theory and its applications based on the use of IoT.
[2] Data-driven and digital technologies supporting Society 5.0 and their applications.
[3] Control system design using adaptive learning techniques

Class Schedule [1] (7 frames)
Sensors are a generic term for devices that convert physical quantities into electrical quantities in order to capture and process various types of information from the natural world in electronic circuits. In particular, the use of the IoT, which is now rapidly spreading and developing, allows the state of things (animals, plants, machines, etc.) to be captured, monitored, controlled and manipulated by sensors. In this lecture, we will show what can and has been done, using our sensing signal processing as an example.
[2] (3 sessions)
The construction industry is facing future labour shortages due to a declining workforce, and measures are being taken to improve productivity, such as the use of ICT construction. Furthermore, by applying digital technologies such as electronics, systems, control and communication to construction sites, reforms in working methods are being promoted to realise Society 5.0. In this lecture, the current issues facing construction sites and the measures promoted by the Ministry of Land, Infrastructure, Transport and Tourism will be clarified, as well as learning about data-driven technologies and digital technologies in the construction industry.
[3] (5 sessions)
This lecture covers the fundamentals and applications of advanced control system design, in particular adaptive learning control and extreme value search methods. Specifically, after lectures on the mathematical foundations necessary for designing adaptive control systems and on the fundamentals of stability analysis, the basic design methods of several representative adaptive control techniques are explained. At the same time, some extensions of the extreme value search method are described.

Evaluation will be 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 This is an intensive lecture, so make sure you listen carefully and understand the material.

Requirements An understanding of the content of System Control I, System Control II and Signal Processing Engineering taken at undergraduate level is required.

Grading Method Grading criteria will be based on the reports assigned for each of [1] to [3] above.

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other This lecture is given as an intensive course, but some lectures may be given on weekdays at the convenience of the lecturer. I will inform you in advance, so please make arrangements so that you can attend.

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	2025Year	School/Graduate School	Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Electrical, Systems, and Control Engineering Program
Lecture Code	WSG30201	Subject Classification	Specialized Education
Subject Name	電気システム制御特別講義Ｂ
Subject Name （Katakana）	デンキシステムセイギョトクベツコウギビー
Subject Name in English	Special Lecture on Electrical, Systems, and Control Engineering B
Instructor	See the class timetable.
Instructor (Katakana)	ジュギョウジカンワリヲサンショウ
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	IoT, Society 5.0, digital technology, adaptive learning control, advanced control, extreme value 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	TThis lecture will be divided into three main parts. [1] Signal processing theory and its applications based on the use of IoT. [2] Data-driven and digital technologies supporting Society 5.0 and their applications. [3] Control system design using adaptive learning techniques
Class Schedule	[1] (7 frames) Sensors are a generic term for devices that convert physical quantities into electrical quantities in order to capture and process various types of information from the natural world in electronic circuits. In particular, the use of the IoT, which is now rapidly spreading and developing, allows the state of things (animals, plants, machines, etc.) to be captured, monitored, controlled and manipulated by sensors. In this lecture, we will show what can and has been done, using our sensing signal processing as an example. [2] (3 sessions) The construction industry is facing future labour shortages due to a declining workforce, and measures are being taken to improve productivity, such as the use of ICT construction. Furthermore, by applying digital technologies such as electronics, systems, control and communication to construction sites, reforms in working methods are being promoted to realise Society 5.0. In this lecture, the current issues facing construction sites and the measures promoted by the Ministry of Land, Infrastructure, Transport and Tourism will be clarified, as well as learning about data-driven technologies and digital technologies in the construction industry. [3] (5 sessions) This lecture covers the fundamentals and applications of advanced control system design, in particular adaptive learning control and extreme value search methods. Specifically, after lectures on the mathematical foundations necessary for designing adaptive control systems and on the fundamentals of stability analysis, the basic design methods of several representative adaptive control techniques are explained. At the same time, some extensions of the extreme value search method are described. Evaluation will be 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	This is an intensive lecture, so make sure you listen carefully and understand the material.
Requirements	An understanding of the content of System Control I, System Control II and Signal Processing Engineering taken at undergraduate level is required.
Grading Method	Grading criteria will be based on the reports assigned for each of [1] to [3] above.
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other	This lecture is given as an intensive course, but some lectures may be given on weekdays at the convenience of the lecturer. I will inform you in advance, so please make arrangements so that you can attend.
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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