T-S fuzzy control for uncertain nonlinear systems using adaptive fuzzy approach
| dc.contributor | 國立臺灣師範大學電機工程學系 | zh_tw |
| dc.contributor.author | L.-H. Chien | en_US |
| dc.contributor.author | W.-Y. Wang | en_US |
| dc.contributor.author | I-H. Li | en_US |
| dc.contributor.author | S.-F. Su | en_US |
| dc.date.accessioned | 2014-10-30T09:28:22Z | |
| dc.date.available | 2014-10-30T09:28:22Z | |
| dc.date.issued | 2006-07-21 | zh_TW |
| dc.description.abstract | This paper proposes on-line modeling via Takagi-Sugeno (T-S) fuzzy models and robust adaptive control for a class of unknown nonlinear dynamic systems with external disturbances. The T-S fuzzy model is established to approximate an unknown nonlinear dynamic system in a linearized way. Fuzzy B-spline membership functions (BMFs) which possesses a fixed number of control points are developed for on-line tuning. In this paper, the closed-loop system which is controlled by the proposed controller can be stabilized and the tracking error will converge to zero. An example is simulated in order to confirm the effectiveness and applicability of the proposed methods in this paper. | en_US |
| dc.description.uri | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1681802 | zh_TW |
| dc.identifier | ntnulib_tp_E0604_02_049 | zh_TW |
| dc.identifier.uri | http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32026 | |
| dc.language | en | zh_TW |
| dc.relation | IEEE International Conference on Fuzzy Systems, Vancouver, BC,Canada,pp. 800-805 | en_US |
| dc.title | T-S fuzzy control for uncertain nonlinear systems using adaptive fuzzy approach | en_US |