Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.automatica.2007.11.025
Title: Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form
Authors: Zhang, T.P.
Ge, S.S. 
Keywords: Adaptive control
Dead zone
Dynamic surface control
Neural networks
Pure-feedback nonlinear systems
Issue Date: Jul-2008
Citation: Zhang, T.P., Ge, S.S. (2008-07). Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form. Automatica 44 (7) : 1895-1903. ScholarBank@NUS Repository. https://doi.org/10.1016/j.automatica.2007.11.025
Abstract: In this paper, adaptive dynamic surface control (DSC) is developed for a class of pure-feedback nonlinear systems with unknown dead zone and perturbed uncertainties using neural networks. The explosion of complexity in traditional backstepping design is avoided by utilizing dynamic surface control and introducing integral-type Lyapunov function. It is proved that the proposed design method is able to guarantee semi-global uniform ultimate boundedness of all signals in the closed-loop system, with arbitrary small tracking error by appropriately choosing design constants. Simulation results demonstrate the effectiveness of the proposed approach. © 2008 Elsevier Ltd. All rights reserved.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/54894
ISSN: 00051098
DOI: 10.1016/j.automatica.2007.11.025
Appears in Collections:Staff Publications

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