Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2019 258495 Special Topics on T-S Fuzzy Model 1 3.0 3 ★ Tsai Shun-Hung GAT 11 6 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2019	258495	Special Topics on T-S Fuzzy Model	1	3.0	3	★	Tsai Shun-Hung	GAT	11	6

Course Plan：

Instructor Tsai Shun-Hung

Email shtsai@ntut.edu.tw

Last Updated 2019-06-13 11:02:51

Course Objective In this course, the theory and principle of T-S fuzzy model are introduced. First, a procedure how to transform a nonlinear system to a T-S fuzzy model is introduced. Secondly, some systematic methods are introduced to design the controllers for the stability of the overall system and the stability condition is formulated by LMIs form. Finally, the design procedure is utilized to demonstrate by a real physical system.

Course Schedule Week 1 Introduction Week 2 Modeling methods Week 3 Uncertainties, ij Program Week 4 Robust H_infinite (Two Steps) (Homework #1) Week 5 Time-Delay (Delay-Independent, Delay-dependent) Week 6 Input-Delay Week 7 Mid-term Report (each one provides a paper report) Week 8 (Mid-term Exam.) Week 9 Non-PDC Week 10 K-means, FCM, FCRM (Homework #2) Week 11 Home work report Week 12 Output feedback Week 13 (Adaptive Network-Based Fuzzy Inference System) ANFIS Week 14 Relaxed Paper 1 Week 15 Relaxed Paper 2 Week 16 Polynomial system Week 17 Final Report Week 18 Final Report

Evaluation and grading policy 1. Quiz 20% 2. Midterm Exam. 20% 3. Final project and presentation 40% 4. Attendance and Homework 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
1. Fuzzy control system design and analysis, John Wiley and Sons, Inc. Tanaka, Kazuo, 2001 2. Lecture Notes and Selected Papers

The access to curricular consultation

Note
　

Instructor	Tsai Shun-Hung
Email	shtsai@ntut.edu.tw
Last Updated	2019-06-13 11:02:51
Course Objective	In this course, the theory and principle of T-S fuzzy model are introduced. First, a procedure how to transform a nonlinear system to a T-S fuzzy model is introduced. Secondly, some systematic methods are introduced to design the controllers for the stability of the overall system and the stability condition is formulated by LMIs form. Finally, the design procedure is utilized to demonstrate by a real physical system.
Course Schedule	Week 1 Introduction Week 2 Modeling methods Week 3 Uncertainties, ij Program Week 4 Robust H_infinite (Two Steps) (Homework #1) Week 5 Time-Delay (Delay-Independent, Delay-dependent) Week 6 Input-Delay Week 7 Mid-term Report (each one provides a paper report) Week 8 (Mid-term Exam.) Week 9 Non-PDC Week 10 K-means, FCM, FCRM (Homework #2) Week 11 Home work report Week 12 Output feedback Week 13 (Adaptive Network-Based Fuzzy Inference System) ANFIS Week 14 Relaxed Paper 1 Week 15 Relaxed Paper 2 Week 16 Polynomial system Week 17 Final Report Week 18 Final Report
Evaluation and grading policy	1. Quiz 20% 2. Midterm Exam. 20% 3. Final project and presentation 40% 4. Attendance and Homework 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Fuzzy control system design and analysis, John Wiley and Sons, Inc. Tanaka, Kazuo, 2001 2. Lecture Notes and Selected Papers
The access to curricular consultation
Note