國立臺灣師範大學電機工程學系W.-Y. WangG.-M. ChenC.-W. Tao2014-10-302014-10-302003-10-08http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/32048In this paper, an output feedback direct adaptive fuzzy neural controller for an anti-lock braking system (ABS) is developed. It is assumed that only the system output and the wheel slip ratio, is available for measurement. The main control strategy is to force the wheel slip ratio tracking variant optimal slip ratios, which may vary with the environment and assumed to be known during the vehicle-stopping period. By using the strictly-positive-real (SPR) Lyapunov theory, the stability of the closed-loop system can be verified. To demonstrate the effectiveness of the proposed method, simulation results are illustrated.nti-lock brake systemfizzy neural controltracking optimal slip ratios.