Abstract: A fuzzy adaptive control scheme based on generalized fuzzy hyperbolic model (GFHM) for unknown nonlinear uncertain systems was proposed. Using GFHM as an identifier model for unknown nonlinear object, it can provide the gradient information necessary to the parameter self-adjusting of fuzzy adaptive controller. Comparing GFHM with other identifiers, the number of unknown parameters and identification complexity of GFHM are both less, while the accuracy of approximation is easy to be improved. Gradient algorithm of adaptive controller enables the output of controlled object to track the expected output very well. The simulation results show that the proposed scheme has powerful adaptive tracking ability for the signal input of unknown nonlinear system.