On-Line Intelligent Adaptive Control for Uncertain Nonlinear Systems using Optimally Trained TS-Type Fuzzy Models
碩士 === 國立交通大學 === 電機與控制工程系 === 90 === A new approach for on-line intelligent indirect adaptive control of uncertain nonlinear systems is explored in this thesis using optimally trained Takagi-Sugeno (TS)-type fuzzy models. It is a common practice to assume that the uncertain nonlinear sys...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2002
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/40723179731965306468 |