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    High-Gain Observer Design for Nonlinear Systems with Delayed Output Measurements using Time-Varying Gains

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    CDC_adaptive_observer_for_nonlinear_systems_with_delayed_outputs_vi.pdf
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    Type
    Conference Paper
    Authors
    Adil, Ania
    Ndoye, Ibrahima cc
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computer, Electrical and Mathematical Science & Engineering Division (CEMSE), KAUST, Saudi Arabia
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering Program
    Computational Bioscience Research Center (CBRC)
    KAUST Grant Number
    BAS/1/1627-01-01
    Date
    2022-01-10
    Permanent link to this record
    http://hdl.handle.net/10754/687020
    
    Metadata
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    Abstract
    This paper proposes a high-gain observer design for nonlinear systems with delayed output measurements using time-varying gains. The proposed observer is endowed with an exponential stability guarantee and relies on the generalization of the Halanay-type inequalities. We establish that the estimated state and the adapted gain are exponentially bounded and prevent the oscillatory response of the estimates. The time-varying gain feature limits the constant high-gain values of the standard high-gain observer design to the minimum gain required to achieve stability. Furthermore, we derive an explicit relation between the maximum bound of the delay and the maximum gain parameter by using a Lyapunov-Krasovskii functional jointly with the time-varying Halanay inequality. Finally, a comparison with the standard high-gain observer is provided through numerical simulations to demonstrate the superiority of the proposed high-gain observer in rejecting the noise and reducing the peaking phenomena.
    Citation
    Adil, A., N’Doye, I., & Laleg-Kirati, T.-M. (2022). High-Gain Observer Design for Nonlinear Systems with Delayed Output Measurements using Time-Varying Gains. 2022 IEEE 61st Conference on Decision and Control (CDC). https://doi.org/10.1109/cdc51059.2022.9992555
    Sponsors
    This work has been supported by the King Abdullah University of Science and Technology (KAUST), Base Research Fund (BAS/1/1627-01-01) to Taous-Meriem LalegKirati. Ania Adil thanks the Direction Gen´ erale de la ´ Recherche Scientique et du Developpement Technologique ´ DGRSDT/MESRS-Algeria for the financial support.
    Publisher
    IEEE
    Conference/Event name
    2022 IEEE 61st Conference on Decision and Control (CDC)
    ISBN
    978-1-6654-6762-9
    DOI
    10.1109/CDC51059.2022.9992555
    Additional Links
    https://ieeexplore.ieee.org/document/9992555/
    https://ieeexplore.ieee.org/document/9992555/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9992555
    ae974a485f413a2113503eed53cd6c53
    10.1109/CDC51059.2022.9992555
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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