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Based on a Takagi–Sugeno (T–S) fuzzy model and an inverse system method, this paper deals with the problem of actuator\udfault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T–S\udfuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer\udis designed based on a T–S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the\udsecond fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode\udmethods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given\udto demonstrate the efficiency of the proposed techniques

Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model