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In this paper, an adaptive sliding mode observer is developed for actuator fault diagnosis of linear parameter–varying systems. The main advantage of the proposed approach is its ability to cope with time‐varying distribution matrix in linear parameter–varying systems. Furthermore, the proposed adaptive observer is characterized by its output robustness against parameter uncertainties and disturbances without any a priori knowledge about their bounds. The efficiency of the proposed fault diagnosis approach is validated using simulation studies.