WSS21601 Advanced Model-Based Development(MDB)

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 WSS21601 Subject Classification Specialized Education

Subject Name モデルベース開発(MBD)実践演習

Subject Name
（Katakana）モデルベースカイハツ（エムビーディー）ジッセンエンシュウ

Subject Name in
English Advanced Model-Based Development(MDB)

Instructor WAKITANI SHIN

Instructor
(Katakana) ワキタニ　シン

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

Days, Periods, and Classrooms (Int) Inte

Lesson Style Lecture Lesson Style
(More Details) Face-to-face, Online (simultaneous interactive)

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

Keywords Model-Based Development (MBD), plant modeling, 1D-CAE, Sampled-Data 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 covers the fundamentals and practice of control system design based on Model-Based Development (MBD).
Based on an introduction to MBD and the fundamentals of sampled-data control systems, students will learn the overall process of modeling, simulation, control system design, and performance evaluation for motor control systems and process control systems.
Through practical exercises using MATLAB/Simulink and related tools, the course aims to develop students’ ability to design control systems for real-world dynamic systems.

Class Schedule Lesson 1: Introduction to MBD and Control System Design
Lesson 2: Fundamentals of Sampled-Data Control Systems 1
Lesson 3: Fundamentals of Sampled-Data Control Systems 2
Lesson 4: Design of Motor Control Systems 1
Lesson 5: Design of Motor Control Systems 2
Lesson 6: Design of Motor Control Systems 3 (Practical Exercise)
Lesson 7: Design of Motor Control Systems 4 (Practical Exercise)
Lesson 8: Design of Thermal Process Control Systems 1
Lesson 9: Design of Thermal Process Control Systems 2
Lesson 10: Design of Thermal Process Control Systems 3
Lesson 11: Design of Thermal Process Control Systems 4 (Practical Exercise)
Lesson 12: Design of Thermal Process Control Systems 5 (Practical Exercise)
Lesson 13: ADAS（Advanced Driver Assistance Systems） Design 1
Lesson 14: ADAS（Advanced Driver Assistance Systems） Design 2
Lesson 15: ADAS（Advanced Driver Assistance Systems） Design 3

A final report will be assigned at the end of Lesson 15.

Text/Reference
Books,etc. PowerPoint style documents are used in the lecture.
It is desirable to read the following books in order to deepen learning.
About MBD
・ Toru Yamamoto, (Ed.& Wri.) ：Model-based development through practical training，CORONA Pub. ISBN-978-4-339-04654-0 (in Japanese)
・ Akira　Ohata and Katsuhisa Furuta：Multi-physical domain modeling for model-based development, TechShare, ISBN978-4-906864-02-7 (in Japanese)
・ Takayuki Kubo：Introduction to Simulink for Automotive Industry MBD Engineers, TechShare, ISBN978-4-9910887-0-4 (in Japanese)
About classical control theory and system engineering
・ Kazuya Sato, et al. ：Introduction to control engineering, 2nd-ed, Kodansha LTD, ISBN-10 : 4065137470 (in Japanese)

PC or AV used in
Class,etc. Microsoft Stream

(More Details)

Learning techniques to be incorporated

Suggestions on
Preparation and
Review Since MATLAB will be used for model construction, it is desirable that students have a basic understanding of MATLAB operations.
In addition, students will develop 1D-CAE models based on mathematical descriptions of mechanics, electric circuits, thermal systems, and related topics. Reviewing these areas in advance will help deepen their understanding of the course content.

Requirements It is advisable to take lectures on the basics of differentiation and integration, linear algebra, and control engineering. Since MATLAB / Simulink (Version is 2026a) is used in the exercise, consult with the instructor in advance if you cannot install it on your PC.

Grading Method Exercise 30%, Report 60%, and Attitude towards participation 10%

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message This course emphasizes developing a way of thinking that identifies the essential common features underlying diverse control targets and approaches control system design in a standardized and generalizable manner beyond the differences among individual systems.

Other As a general rule, bring a 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.

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	WSS21601	Subject Classification	Specialized Education
Subject Name	モデルベース開発(MBD)実践演習
Subject Name （Katakana）	モデルベースカイハツ（エムビーディー）ジッセンエンシュウ
Subject Name in English	Advanced Model-Based Development(MDB)
Instructor	WAKITANI SHIN
Instructor (Katakana)	ワキタニ　シン
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, Second Semester, Intensive
Days, Periods, and Classrooms	(Int) Inte
Lesson Style	Lecture	Lesson Style (More Details)	Face-to-face, Online (simultaneous interactive)

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
Keywords	Model-Based Development (MBD), plant modeling, 1D-CAE, Sampled-Data 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 covers the fundamentals and practice of control system design based on Model-Based Development (MBD). Based on an introduction to MBD and the fundamentals of sampled-data control systems, students will learn the overall process of modeling, simulation, control system design, and performance evaluation for motor control systems and process control systems. Through practical exercises using MATLAB/Simulink and related tools, the course aims to develop students’ ability to design control systems for real-world dynamic systems.
Class Schedule	Lesson 1: Introduction to MBD and Control System Design Lesson 2: Fundamentals of Sampled-Data Control Systems 1 Lesson 3: Fundamentals of Sampled-Data Control Systems 2 Lesson 4: Design of Motor Control Systems 1 Lesson 5: Design of Motor Control Systems 2 Lesson 6: Design of Motor Control Systems 3 (Practical Exercise) Lesson 7: Design of Motor Control Systems 4 (Practical Exercise) Lesson 8: Design of Thermal Process Control Systems 1 Lesson 9: Design of Thermal Process Control Systems 2 Lesson 10: Design of Thermal Process Control Systems 3 Lesson 11: Design of Thermal Process Control Systems 4 (Practical Exercise) Lesson 12: Design of Thermal Process Control Systems 5 (Practical Exercise) Lesson 13: ADAS（Advanced Driver Assistance Systems） Design 1 Lesson 14: ADAS（Advanced Driver Assistance Systems） Design 2 Lesson 15: ADAS（Advanced Driver Assistance Systems） Design 3 A final report will be assigned at the end of Lesson 15.
Text/Reference Books,etc.	PowerPoint style documents are used in the lecture. It is desirable to read the following books in order to deepen learning. About MBD ・ Toru Yamamoto, (Ed.& Wri.) ：Model-based development through practical training，CORONA Pub. ISBN-978-4-339-04654-0 (in Japanese) ・ Akira　Ohata and Katsuhisa Furuta：Multi-physical domain modeling for model-based development, TechShare, ISBN978-4-906864-02-7 (in Japanese) ・ Takayuki Kubo：Introduction to Simulink for Automotive Industry MBD Engineers, TechShare, ISBN978-4-9910887-0-4 (in Japanese) About classical control theory and system engineering ・ Kazuya Sato, et al. ：Introduction to control engineering, 2nd-ed, Kodansha LTD, ISBN-10 : 4065137470 (in Japanese)
PC or AV used in Class,etc.	Microsoft Stream
(More Details)
Learning techniques to be incorporated
Suggestions on Preparation and Review	Since MATLAB will be used for model construction, it is desirable that students have a basic understanding of MATLAB operations. In addition, students will develop 1D-CAE models based on mathematical descriptions of mechanics, electric circuits, thermal systems, and related topics. Reviewing these areas in advance will help deepen their understanding of the course content.
Requirements	It is advisable to take lectures on the basics of differentiation and integration, linear algebra, and control engineering. Since MATLAB / Simulink (Version is 2026a) is used in the exercise, consult with the instructor in advance if you cannot install it on your PC.
Grading Method	Exercise 30%, Report 60%, and Attitude towards participation 10%
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message	This course emphasizes developing a way of thinking that identifies the essential common features underlying diverse control targets and approaches control system design in a standardized and generalizable manner beyond the differences among individual systems.
Other	As a general rule, bring a 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.

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