Hiroshima University Syllabus

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Japanese
Academic Year 2025Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Smart Innovation Program
Lecture Code WSS20301 Subject Classification Specialized Education
Subject Name モデルベース開発特論
Subject Name
(Katakana)
モデルベースカイハツトクロン
Subject Name in
English
Advanced Model Based Development
Instructor WAKITANI SHIN
Instructor
(Katakana)
ワキタニ シン
Campus Higashi-Hiroshima Semester/Term 1st-Year,  First Semester,  1Term
Days, Periods, and Classrooms (1T) Mon1-4
Lesson Style Lecture Lesson Style
(More Details)
Online (simultaneous interactive)
 
Credits 2.0 Class Hours/Week 4 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, System Modeling, 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
The lecture covers the fundamentals of modeling in the field of Model-Based Development (MBD). The main topics covered in this lecture are as follows:

(1) Basic concepts of Model-Based Development
(2) Fundamentals of plant modeling
(3) Basics of controller modeling
(4) Control system design based on MBD 
Class Schedule lesson1 Outline of Model-Based Development (MBD), basic concept of modeling  
        (Product development based on backcasting thinking)  
lesson2 Modeling basics [1]  
        (Expression by differential equation)  
lesson3 Modeling basics [2]  
        (Transfer function, continuous-time state-space model)  
lesson4 Modeling basics [3]  
        (FMI standard and FMU)  
lesson5 Modeling basics [4]  
        (Implementation of plant models (PC-based exercises))  
lesson6 Basics of controller modeling [1]  
        (Structure of control systems)  
lesson7 Basics of controller modeling [2]  
        (PID control model 1)  
lesson8 Basics of controller modeling [3]  
        (PID control model 2)  
lesson9 Basics of controller modeling [4]  
        (Model matching control 1)  
lesson10 Basics of controller modeling [5]  
        (Implementation of controller models (PC-based exercises))  
lesson11 Control system design [1]  
        (Plant model design for industrial systems 1)  
lesson12 Control system design [2]  
        (Plant model design for industrial systems 2)  
lesson13 Control system design [3]  
        (Control system design for industrial systems 1)  
lesson14 Control system design [4]  
        (Control system design for industrial systems 2)  
lesson15 Control system design [5]  
        (Control system design for industrial systems 3)   
Text/Reference
Books,etc.
PowerPoint materials are used in the lecture. 
PC or AV used in
Class,etc.
Handouts, Microsoft Teams
(More Details)  
Learning techniques to be incorporated Post-class Report
Suggestions on
Preparation and
Review
Assignments and exercises will be provided for each topic. It is effective to study each topic while keeping the following points in mind.

lesson1 - lesson5: Fundamentals of Plant Modeling  
        Conduct modeling based on differential equations.  
        In particular, utilize analogies to develop a unified perspective on modeling across various domains.  

lesson6 - lesson10: Basics of Controller Modeling  
        Understand how each function of a PID controller interacts with the plant model.  
        Additionally, based on this understanding, learn the tuning methods of PID parameters using model matching and partial model matching.  

lesson11 - lesson15: Control System Design  
        Using industrial systems as examples, apply acquired knowledge to independently execute the entire process from system modeling to control model design.   
Requirements It is recommended to have completed lectures on the fundamentals of differentiation and integration, linear algebra, and system control engineering.

Since MATLAB/Simulink (Version 2024a) will be used for exercises, students who are unable to install the software on their PC should consult the instructor in advance. 
Grading Method Exercises (including computer exercises) 30%, final report 60%, and Attitude towards participation 10% 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Message  
Other Computer exercises will be given as part of the lecture. Bring your computer on the designated day. 
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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