State Variable Analysis (Ph.D.)

 Syllabus

Course Program: PH.D.

Instructor: Dr. Yao

Course Title: Special Topics in State Variable Analysis

Credit Hours:  3  credits ＼  3  hours

 

Course Objective：

This course provides a graduate-level to State-space methods and its application in control theory.

 

Course Outline：

   Modifications to this syllabus may be required during the semester. Any changes to the syllabus will be posted on the course web site and will be announced in the classroom.

1. Review of Mathematics Fundamental to State-Space Concepts.

2. State Variable Models for Systems.

3. State Feedback Design and Observer Design

4. State Transition Matrix and Equation

5. Controllability and Observability

6. Composite System

7. MIMO System

8. Similarity Transformation and State Transformation

9. Optimal Control Systems

10. Matlab Tools

11. Paper Review

 

Assessment Methods and Grading：

Homework: 20%，Quizzes: 20%，Mid-term exam : 30%，Final exam : 30%.

 

Textbook:

1.Lecture Note

2.Benjamin C. Kuo, Farid Golnaraghi, Automatic Control Systems, Wiley..

3. Richard C. Dorf and Robert H. Bishop, Modern Control Systems.

4. Jacqueline wilkie, Control Engineering, Palgrave.  

5.蔡瑞昌, 陳維, 林忠火,“自動控制”,全華.

6.李雪銀, 溫坤禮,”工程數學”,全華.

7.李宜達,“控制系統設計與模擬”,全華.

 

Pre-requisites:

Undergraduate level control theory, basics of linear algebra, and differential equations. The students are expected to have basic understanding of dynamics, transfer functions, feedback and forward, Bode plots, poles and zeros, and PID. Basic familiarity with

Matlab is also required.

 

Office Hours: based on appointment

E-mail: kcyao@cc.ncue.edu.tw

Lab website: http://blog.ncue.edu.tw/kcyao