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dc.contributorDepartment of Industrial and Systems Engineering-
dc.creatorMa, H-
dc.creatorLiu, W-
dc.creatorLi, Y-
dc.creatorLiu, Z-
dc.creatorTian, S-
dc.publisherInstitution of Engineering and Technologyen_US
dc.rights© 2021 The Authors. IET Control Theory & Applications published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technologyen_US
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License (, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following publication Ma, H., Liu, W., Li, Y., Liu, Z., & Tian, S. (2021). Saturated adaptive barrier sliding mode control with state‐dependent uncertainty limit. IET Control Theory & Applications is available at
dc.titleSaturated adaptive barrier sliding mode control with state-dependent uncertainty limiten_US
dc.typeJournal/Magazine Articleen_US
dcterms.abstractThis paper proposed a saturated adaptive barrier sliding mode control (SABSMC) for disturbed systems with parameter uncertainty, external disturbance, and input saturation. One distinctive feature of the proposed method is that even under the influence of input saturation, it is able to drive the system trajectory into a prespecified neighbourhood of the sliding surface, independent of the upper limit of lumped disturbance. Moreover, attributing to the designed adaptive laws, the switching gain of the proposed method can be adaptively adjusted in a wise manner. Another attractive feature of the proposed method is that it removes any presumption of constant upper limit on the lumped disturbance. Instead, SABSMC utilises a more rational state-dependent upper limit assumption. The system dynamics of the closed-loop system is analysed via the Lyapunov method in the presence of parameter uncertainty, external disturbance, and input saturation. The effectiveness of the proposed method is confirmed through numerical simulations.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIET control theory and applications, Sept. 2021, v. 15, no. 13, p. 1762-1768-
dcterms.isPartOfIET control theory and applications-
dc.description.validate202110 bcvc-
dc.description.oaVersion of Recorden_US
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