| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Informatics and Data Science Program |
| Lecture Code |
WSN20701 |
Subject Classification |
Specialized Education |
| Subject Name |
Applied Mechano-informatics |
Subject Name
（Katakana） |
アプライド メカノ－インフォマティクス |
Subject Name in
English |
Applied Mechano-informatics |
| Instructor |
MUKAIDANI HIROAKI |
Instructor
(Katakana) |
ムカイダニ ヒロアキ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 3Term |
| Days, Periods, and Classrooms |
(3T) Fri5-8 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| Lecture |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
E
:
English |
| Course Level |
5
:
Graduate Basic
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
02
:
Information Science |
| Eligible Students |
|
| Keywords |
Optimization |
| 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 this lecture, the linear matrix inequality (LMI) is discussed to analyze the dynamical system. Particularly, stabilization and optimization problems are considered by means of the computational method. Furthermore, the reliability and usefulness of the LMI are both confirmed by studying the practical electrical and mechanical systems.
|
| Class Schedule |
lesson1 The histories of modern control theory in the analysis of dynamical systems
lesson2 Vector and matrix analysis. Kronecker product.
lesson3 Transition Mmatrix and method of differential
lesson4 Linear system theory 1: State equation
lesson5 Linear system theory 2: Numerical integration
lesson6 Linear system theory 3: Lyapunov stability
lesson7 Linear system theory 4: Lyapnov equation
lesson8 Linear system theory 5: Optimal control
lesson9 Property of Riccati equation
lesson10 Newton's method for solving nonlinear matrix equations
lesson11 Schur method
lesson12 Stability for continuous-time systems
lesson13 Stability for discrete-time systems
lesson14 Robust stabilization analysis
lesson15 Design of controller via state feedback and simulation experiment |
Text/Reference
Books,etc. |
A. J. Laub, Matrix Analysis for Scientists and Engineers, SIAM, 2005.
S. Boyd, L.E. Ghaoui, E. Feron, and V. Balakrishnan, Linear Matrix Inequalities in System and Control Theory, SIAM, 1994. |
PC or AV used in
Class,etc. |
|
| (More Details) |
Text and PC projector |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
For each lecture, the preparation and review should be needed by reading the text book. Furthermore, the practical calculation would be helpful. |
| Requirements |
The basic knowledge on differential and integral calculus, linear algebra, differential equation for university-level study are needed. |
| Grading Method |
The grade will be based on the reports. |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
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. |