Abstract
In this paper, a novel stable adaptive fuzzy sliding–mode controller (AFSMC) is investigated for a class of uncertain underactuated nonlinear dynamic systems. The underactuated system is decoupled into two subsystems. In the controller design, a sliding surface for each subsystem is defined and a suitable adaptive fuzzy system is used to reasonably approximate the uncertain functions. The stability of the closed-loop system is proven by Lyapunov approach. The effectiveness of the proposed AFSMC is illustrated throughout simulation results.
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Moussaoui, S., Boulkroune, A. (2017). Stable Adaptive Fuzzy Sliding-Mode Controller for a Class of Underactuated Dynamic Systems. In: Chadli, M., Bououden, S., Zelinka, I. (eds) Recent Advances in Electrical Engineering and Control Applications. ICEECA 2016. Lecture Notes in Electrical Engineering, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-319-48929-2_9
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DOI: https://doi.org/10.1007/978-3-319-48929-2_9
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