國立臺灣師範大學電機工程學系Y.-G. LeuT.-T. LeeW.-Y. Wang2014-10-302014-10-301999-10-011083-4419�http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31969In this paper, an observer-based adaptive fuzzy-neural controller for a class of unknown nonlinear dynamical systems is developed. The observer-based output feedback control law and update law to tune on-line the weighting factors of the adaptive fuzzy-neural controller are derived. The total states of the nonlinear system are not assumed to be available for measurement. Also, the unknown nonlinearities of the nonlinear dynamical systems are not restricted to the system output only. The overall adaptive scheme guarantees that all signals involved are bounded. Simulation results demonstrate the applicability of the proposed method in order to achieve desired performanceFuzzy controlneural networksnonlinear systemsadaptive controlobserver.