國立臺灣師範大學電機工程學系Y.-G. LeuT.-T. LeeW.-Y. Wang2014-10-302014-10-301997-12-011083-4419http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31972The 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 paperAdaptive fuzzy–neural controllerlocal tuningon-line tuning