WSG20701 Advanced System Control

Hiroshima University Syllabus

Japanese

Academic Year 2024Year 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 WSG20701 Subject Classification Specialized Education

Subject Name システム制御特論

Subject Name
（Katakana）システムセイギョトクロン

Subject Name in
English Advanced System Control

Instructor YAMAMOTO TORU

Instructor
(Katakana) ヤマモト　トオル

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

Days, Periods, and Classrooms (1T) Tues1-2：ENG 103, (1T) Thur1-2：ENG 102

Lesson Style Lecture Lesson Style
(More Details) 　

Lecture in an on-line

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 PID control system design, system modeling, system identification, least-squares method, self-tuning control, pole-assignment control, generalized minimum variance control
SDG_09

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 In the undergraduate course, we learned how to design control systems based on classical control (output feedback) and modern control (state feedback) theory, where the system (controlled object) was designed on the assumption that the characteristics of the  system were known and time-invariant. However, in practice, it is rare that the characteristics of the system can be completely understood in advance, and the characteristics often change gradually. In this lecture, we will learn how to design a self-tuning control system as a control system design method for such systems.

Class Schedule lesson1: Review of control system design (1) Modeling / transfer function and system characteristics
lesson2: Review of control system design (2) PID control system design, stability analysis / steady-state error analysis, control performance evaluation
lesson3: [Control system design exercise 1] PID control system design
lesson4: Discretization and discrete-time model
lesson5: Basic design of self-tuning control system
lesson6: Discrete-time control system design method (1) Pole assignment control
lesson7: System identification method (1) Batch-type least square method
lesson8: [Control System Design Exercise 2] Batch-type least square method
lesson9: System identification method (2) Recursive least squares method
lesson10: [Control System Design Exercise 3] Recursive least square method
lesson11: [Control System Design Exercise 4] Self-tuning PID control based on pole-assignment control
lesson12: Discrete-time control system design method (2) Generalized minimum variance control (GMVC)
lesson13: [Control System Design Exercise 5] Self-tuning PID control based on GMVC
lesson14: Control of real systems and data-oriented control
lesson15 & lesson16: Final Exams [Report Issues]

Reports must be submitted for the five exercises. Finally, in order to grasp the acquisition status, a report task is assigned instead of the final exam.

Text/Reference
Books,etc. Reference book : S.Omatsu and T.Yamamoto (edit.): Self-tuning control, Corona-Sha Publishing Co. Ltd.  (1996)  ISBN978-4-339-08359-0

PC or AV used in
Class,etc. 　

(More Details)

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Review about the contents of "Automatic Control Engineering" studied in university. Please ask me surely if you have questions without hesitate.

Requirements

Grading Method Report 50% and Final exam. 50%

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other The lectures will follow this syllabus, but it is subject to change. In any case, any changes will be communicated during the lecture.

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	2024Year	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	WSG20701	Subject Classification	Specialized Education
Subject Name	システム制御特論
Subject Name （Katakana）	システムセイギョトクロン
Subject Name in English	Advanced System Control
Instructor	YAMAMOTO TORU
Instructor (Katakana)	ヤマモト　トオル
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, First Semester, 1Term
Days, Periods, and Classrooms	(1T) Tues1-2：ENG 103, (1T) Thur1-2：ENG 102
Lesson Style	Lecture	Lesson Style (More Details)
Lecture in an on-line
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	PID control system design, system modeling, system identification, least-squares method, self-tuning control, pole-assignment control, generalized minimum variance control SDG_09
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	In the undergraduate course, we learned how to design control systems based on classical control (output feedback) and modern control (state feedback) theory, where the system (controlled object) was designed on the assumption that the characteristics of the system were known and time-invariant. However, in practice, it is rare that the characteristics of the system can be completely understood in advance, and the characteristics often change gradually. In this lecture, we will learn how to design a self-tuning control system as a control system design method for such systems.
Class Schedule	lesson1: Review of control system design (1) Modeling / transfer function and system characteristics lesson2: Review of control system design (2) PID control system design, stability analysis / steady-state error analysis, control performance evaluation lesson3: [Control system design exercise 1] PID control system design lesson4: Discretization and discrete-time model lesson5: Basic design of self-tuning control system lesson6: Discrete-time control system design method (1) Pole assignment control lesson7: System identification method (1) Batch-type least square method lesson8: [Control System Design Exercise 2] Batch-type least square method lesson9: System identification method (2) Recursive least squares method lesson10: [Control System Design Exercise 3] Recursive least square method lesson11: [Control System Design Exercise 4] Self-tuning PID control based on pole-assignment control lesson12: Discrete-time control system design method (2) Generalized minimum variance control (GMVC) lesson13: [Control System Design Exercise 5] Self-tuning PID control based on GMVC lesson14: Control of real systems and data-oriented control lesson15 & lesson16: Final Exams [Report Issues] Reports must be submitted for the five exercises. Finally, in order to grasp the acquisition status, a report task is assigned instead of the final exam.
Text/Reference Books,etc.	Reference book : S.Omatsu and T.Yamamoto (edit.): Self-tuning control, Corona-Sha Publishing Co. Ltd. (1996) ISBN978-4-339-08359-0
PC or AV used in Class,etc.
(More Details)
Learning techniques to be incorporated
Suggestions on Preparation and Review	Review about the contents of "Automatic Control Engineering" studied in university. Please ask me surely if you have questions without hesitate.
Requirements
Grading Method	Report 50% and Final exam. 50%
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other	The lectures will follow this syllabus, but it is subject to change. In any case, any changes will be communicated during the lecture.
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.

Back to syllabus main page