Academic Year |
2025Year |
School/Graduate School |
School of Science |
Lecture Code |
HB206000 |
Subject Classification |
Specialized Education |
Subject Name |
計算数理B |
Subject Name (Katakana) |
ケイサンスウリB |
Subject Name in English |
Mathematics for Computation B |
Instructor |
OHNISHI ISAMU |
Instructor (Katakana) |
オオニシ イサム |
Campus |
Higashi-Hiroshima |
Semester/Term |
4th-Year, Second Semester, 3Term |
Days, Periods, and Classrooms |
(3T) Weds7-10 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
Face-to-face, Online (on-demand) |
Mainly lectures, mainly exercises, heavy use of blackboard writing |
Credits |
2.0 |
Class Hours/Week |
4 |
Language of Instruction |
J
:
Japanese |
Course Level |
3
:
Undergraduate High-Intermediate
|
Course Area(Area) |
25
:
Science and Technology |
Course Area(Discipline) |
01
:
Mathematics/Statistics |
Eligible Students |
4th year mathematics department students |
Keywords |
Classical control theory, PID control, Laplace transform, transfer function, block diagram, optimal regulator, feedback control, pole placement method |
Special Subject for Teacher Education |
|
Special Subject |
|
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | In order to learn, research and develop "at the intersection of control engineering and mathematical science," we will introduce basic mathematical science concepts, classical control theory, PID control, etc. to learn control theory. |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | Mathematics (Knowledge and Understanding) ・Acquiring knowledge and vision on advanced theories as an extension of core theory of modern mathematics. (Abilities and Skills) ・To learn basic knowledge, skills, and attitudes related to information. Based on them, to be able to process, output and input information, as well as to utilize information appropriately. |
Class Objectives /Class Outline |
In order to conduct research "at the intersection of mathematical science and control engineering," students will learn basic mathematical science concepts to study control theory, and will study classical control theory, PID control, etc. Also, during the first few lectures, students will be asked to create an account to use MATLAB and Simulink online, and as appropriate, they will be asked to actually code and execute the assignments using Simulink Online. |
Class Schedule |
lesson1 Introduction I MATLAB, Simulink Tutorial I lesson2 Introduction II MATLAB, Simulink Tutorial II lesson3 Introduction III MATLAB, Simulink Tutorial III lesson4 Introduction IV MATLAB, Simulink Tutorial IV lesson5 About the Laplace Transform lesson6 Describing Engineering Systems. lesson7 Controlling Engineering Systems. Lesson 8: Review of matrices and linear operators (finite dimensions) I Eigenvalues and eigenvectors Lesson 9: Review of matrices and linear operators (finite dimensions) II Eigenvalues and response, mode expansion Lesson 10: Review of matrices and linear operators (finite dimensions) III Coordinate transformation and standard form, block diagram Lesson 11: Classical control theory I Controllability and observability Lesson 12: Classical control theory II Pole placement method Lesson 13: Classical control theory III Optimal regulator Lesson 14: Classical control theory IV Folding method Lesson 15: PID control
Attending Seminar : 35% REPORTs : 65% |
Text/Reference Books,etc. |
In Japanese only, (Basic industrial Math., Control Theory, Applied Linear Algebra)
1. 新版フィードバック制御の基礎 片山 徹 著 (朝倉書店) 2. 工学部で学ぶ数学 千葉 逸人 著 (プレアデス) 3. 線型代数と固有値問題 --スペクトル分解を中心に-- 笠原晧司 著 |
PC or AV used in Class,etc. |
Text, Handouts |
(More Details) |
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Learning techniques to be incorporated |
Discussions, Quizzes/ Quiz format, Post-class Report |
Suggestions on Preparation and Review |
I will give some concrete examples, including some that are related to engineering, so I would like you to not only understand the theory, but also code it using Simulink and take a look at the actual control. |
Requirements |
This course will be held primarily in the main Media Center building.
Lectures: Media Center 2nd floor, Seminar Room 3
Practice: Media Center 2nd floor, Computer Room, back 36 computers
In addition, please always refer to the "Momiji Bulletin Board" and "Moodle page" for this course. |
Grading Method |
The overall assessment, including lecture attendance, will be based on 35%
Report assignment submission: 65%
The evaluation will be based on the following ratios. |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
Control theory uses many of the basic mathematical and scientific techniques and concepts that students learn in their second year of mathematics, and at the same time, it is related to actual things that are useful in real life, such as automatic driving control of automobiles in engineering, so it is important to be able to strike a balance between "being able to theoretically understand the theory and explain it in a logical manner" and "being able to simulate the behavior of specific solutions and the actual control." |
Other |
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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. |