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Teacher name : HUANG Qingjiu
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Academic year
2025Year
Term
Second Semester
Course title
Modern Control Systems Theory
Class type
Lecture
Course title (ENG)
Modern Control Systems Theory
Class code・Class name・Teaching forms
Z0700004 Modern Control Systems Theory
Instructor
HUANG Qingjiu
Credits
2.0Credits
Day and Time
Thu.3Period
Campus
Shinjuku Remote
Location
Relationship between diploma policies and this course
A) A high degree of specialized expertise 85%
B) The skills to use science and technology 15% C) The ability to conduct research independently, knowledge pertaining to society and occupations, and sense of ethics required of engineers and researchers 0% D) Creative skills in specific areas of specialization 0% Goals and objectives
To learn the fundamentals of mathematics for the introduction to modern control theory.
To learn dynamic analysis of continuous and discrete systems, and basic theory of modern control including controllable and observable, stability, observer, regulator, servo system, etc. To master mechanism and trend of advanced control such as robust control, optimum control, adaptive control, intelligent control. Prerequisites
Attendance of classical control is desirable.
Method Using AL・ICT
Presentation/Interactive classes using ICT
Class schedule
1. Control Engineering: From Classic to Modern
Preparatory learning: Carefully read through the textbook chapter 1. 2. Fundamentals of mathematics (basic operation of vector and matrix, eigenvalue, eigenvector) Preparatory learning: Carefully read through the textbook 2.1-2.4 and solve the example. 3. Fundamentals of mathematics (Positive definite matrix, Singular value decomposition, z transform) Preparatory learning: Carefully read through the textbook 2.5-2.8 and solve the example. 4. Model of dynamic system Preparatory learning: Carefully read through the textbook chapter 3 and solve the example. 5. Analysis of continuous time system Preparatory learning: Carefully read through the textbook chapter 4 and solve the example. 6. Analysis of discrete time system Preparatory learning: Carefully read through the textbook chapter 5 and solve the example. 7. Controllability of system Preparatory learning: Carefully read through the textbook 6.1 and solve the example. 8. Observability of system Preparatory learning: Carefully read through the textbook 6.2 and solve the example. 9. Stability of system Preparatory learning: Carefully read through the textbook chapter 7 and solve the example. 10. State feedback and pole placement Preparatory learning: Carefully read through the textbook chapter 8 and solve the example. 11. Design of observer Preparatory learning: Carefully read through the textbook chapter 9 and solve the example. 12. Optimal regulator Preparatory learning: Carefully read through the textbook chapter 10 and solve the example. 13. Design of servo system Preparatory learning: Carefully read through the textbook chapter 11 and solve the example. 14. New development of Control theory---robust control, adaptive control, intelligent control Preparatory learning: Carefully read through the textbook chapter 12 and solve the example. 15. Confirmation of learning (test in class or problem solving) Preparatory learning: General review from the 1st time of class to the last class. Evaluation
Based on every time submitted report with a perfect score of 20, in class exams with a perfect score of 80, comprehension is evaluated with A +, A, B, C, D, and F grades. Grad D or above is passed.
Feedback for students
Q&A box on KU-LMS, Contacting by E-mail, One-on-one online meeting
Textbooks
Introduction to Modern Control Theory, Nozomu Hamada, Naoki Matsumoto, Toru Takahashi, Corona Publishing.
Reference materials
Basics of Modern Control, Masaaki Ishikawa, Masaaki Ishikawa, Tomohide Naniw, Morikita Publishing.
Office hours and How to contact teachers for questions
12:50-13:40, Thursday, Room A-2215 of Shinjuku Campus (Control system laboratory).
Message for students
It's possible to learn mathematics basis, basic theory and design method of robust control, adaptive control, and intelligent control. Welcome any questions and consultation by time besides the office hour. Please make appointment by e-mail.
Course by professor with work experience
Not applicable
Work experience and relevance to the course content if applicable
Teaching profession course
Electrical Engineering and Electronics Program
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