This paper investigates an adaptive fuzzy tracking control method for a class of nonlinear systems with external disturbances.Firstly,fuzzy logic systems and the fuzzy state observer are implemented to approximate un-known nonlinear functions and estimate the unmeasured states of systems,respectively.Then,the tracking error can be constrained within the specified range by means of the performance function.Furthermore,an event-triggered adaptive fuzzy controller is designed by employing the Backstepping method and Lyapunov functional with logarithm function.The proposed control strategy can ensure that all the signals of the closed-loop system are semiglobally uniformly ultimately bounded based on the Lyapunov stability theory and the properties of tanh func-tion.Finally,a numerical simulation example is provided to verify the effectiveness of proposed method.
维普
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