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    Adaptive sliding mode-based diagnosis of actuator faults for LPV systems

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    Date
    2017
    Author
    Rahme, Sandy
    Meskin, Nader
    Mohammadpour, Javad
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    Abstract
    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. Copyright 1 2017 John Wiley & Sons, Ltd.
    DOI/handle
    http://dx.doi.org/10.1002/acs.2761
    http://hdl.handle.net/10576/17078
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    • Electrical Engineering [‎2840‎ items ]

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