On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems
| dc.contributor | 國立臺灣師範大學電機工程學系 | zh_tw |
| dc.contributor.author | Y.-G. Leu | en_US |
| dc.contributor.author | T.-T. Lee | en_US |
| dc.contributor.author | W.-Y. Wang | en_US |
| dc.date.accessioned | 2014-10-30T09:28:17Z | |
| dc.date.available | 2014-10-30T09:28:17Z | |
| dc.date.issued | 1997-12-01 | zh_TW |
| dc.description.abstract | The adaptive fuzzy-neural controllers tuned online for a class of unknown nonlinear dynamical systems are proposed. To approximate the unknown nonlinear dynamical systems, the fuzzy-neural approximator is established. Furthermore, the control law and update law to tune on-line both the B-spline membership functions and the weighting factors of the adaptive fuzzy-neural controller are derived. Therefore, the control performance of the controller is improved. Several examples are 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=650065 | zh_TW |
| dc.identifier | ntnulib_tp_E0604_01_050 | zh_TW |
| dc.identifier.issn | 1083-4419 | zh_TW |
| dc.identifier.uri | http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31972 | |
| dc.language | en | zh_TW |
| dc.publisher | IEEE Systems, Man, and Cybernetics Society | en_US |
| dc.relation | IEEE Transactions on Systems, Man, And Cybernetics-Part B, 27(6), 1034-1043. | en_US |
| dc.subject.other | Adaptive fuzzy–neural controller | en_US |
| dc.subject.other | local tuning | en_US |
| dc.subject.other | on-line tuning | en_US |
| dc.title | On-line tuning of fuzzy-neural network for adaptive control of nonlinear dynamical systems | en_US |