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In this paper, a systematic procedure is presented to analyze and design a stable fuzzy controller for a class of nonlinear systems. Based on the Popov-Lyapunovpsilas method, the flight model is described with the expertpsilas linguistic information involved. The linguistic information for the flight model is represented as fuzzy sets. First, we transform a fuzzy control system into a flight control system with uncertainties or nonlinearities. Second, the Popov-Lyapunovpsilas method is used to guarantee the stability of the flight control system, and a robustness measurement. The simulation results are included to show the effectiveness of the designed robust fuzzy controller.