### 2020　Linear Control Theorem

Font size  SML

Academic unit or major
Undergraduate major in Electrical and Electronic Engineering
Instructor(s)
Sampei Mitsuji
Course component(s)
Lecture    (ZOOM)
Day/Period(Room No.)
Tue1-2(S223)  Fri1-2(S223)
Group
-
Course number
EEE.C361
Credits
2
Academic year
2020
Offered quarter
3Q
Syllabus updated
2020/9/18
Lecture notes updated
-
Language used
Japanese
Access Index ### Course description and aims

This course covers the fundamentals of linear control theory based on state equations, and shows how to analyze systems and how to design controllers for them. In the system analysis, stability, controllability and observability are introduced. In the controller design, state feedback controllers (pole assignment and optimal control), observers and servo controllers are introduced.

The state equation is one of the system descriptions, and many kinds of systems can be described in state equations, for example, mechanical, electrical, chemical and economical systems. This course enables students to derive mathematical models of real systems, and to design controllers for them.

### Student learning outcomes

At the end of this course, students will be able to:
1) Analyze the stability, controllability and observability of the system.
2) Design stabilizing controllers.

### Keywords

Linear Control Theory, State Equation

### Competencies that will be developed

 Specialist skills Intercultural skills Communication skills ✔ Critical thinking skills Practical and/or problem-solving skills ✔ ・Applied specialist skills on EEE

### Class flow

Towards the end of class, students are given exercise problems related to what is taught on that day
to solve.

### Course schedule/Required learning

Course schedule Required learning
Class 1 State Equation Describe systems in state equations.
Class 2 State Equation and Transfer Function Obtain transfer functions of systems described in state equations.
Class 3 Coordinate Transformation and Controllability Check controllability of systems.
Class 4 System Decomposition Decompose systems based on the controllability.
Class 5 Observability Check observability of systems.
Class 6 Stability Check stability of systems.
Class 7 State Feedback (Pole Assignment) Design state feedback controllers using pole assignment method.
Class 8 Pole and Response Explain the relations between poles and responses.
Class 9 Optimal Control Design state feedback controllers which minimize performance indexes
Class 10 Lyapunov Function and Stability of Optimal Control Explain the stability of the optimal control using Lyapunov function
Class 11 Serve Controller Design servo controllers.
Class 12 Observer Design observers.
Class 13 Linearization Linearize nonlinear systems.
Class 14 Controller Design for Discrete Time System Design controllers for discrete time systems.

### Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

### Textbook(s)

All materials used in class can be found on OCW-i.

### Reference books, course materials, etc.

K.J.Astrom and R.M.Murray: Feedback Systems: An Introduction for Scientists and Engineers, Princeton University Press

### Assessment criteria and methods

Students’ course scores are based on final exams (50%) and exercise problems (50%).

### Related courses

• LAS.M102 ： Linear Algebra I / Recitation
• LAS.M106 ： Linear Algebra II
• EEE.C261 ： Control theory

### Prerequisites (i.e., required knowledge, skills, courses, etc.)

Students must have successfully completed the followings or have equivalent knowledge.
LAS.M102 ： Linear Algebra I / Recitation
LAS.M106 ： Linear Algebra II 