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.
Week 1 Introduction Week 2 Modeling methods Week 3 Uncertainties, ij program Week 4 Robust H_infinity problem (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 Homework 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 fuzzy system Week 17 Final report Week 18 Final report
1. Quiz 20% 2. Midterm Exam. 20% 3. Final project and presentation 40% 4. Attendance and Homework 20%
1. Fuzzy control system design and analysis, John Wiley and Sons, Inc. Tanaka, Kazuo, 2001 2. Lecture Notes and Selected Papers