Motivated by the above-mentioneddis

Motivated by the above-mentioneddiscussion, in this paper, a class of uncertain nonlinear systems with time-varying disturbance and unknown dead zone is studied. Different from previous design toward asymptotic stability, the novel serial–parallel identification model is developed to construct the modeling error. Furthermore, by incorporating the fuzzy approximation, the novel disturbance observer is designed to compensate the effect of approximation error, unknown dead zone, and time-varying disturbance. The organization of this paper is as follows. Section II presents the class of nonlinear systems with unknown dead zone. In Section III, the adaptive fuzzy control is designed with disturbance observer while the composite learning is constructed. In Section IV, simulation is presented to show the effectiveness of the proposed approach. The final conclusion is included in Section V.