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    State Estimation of LPV Discrete-Time Systems with Application to Output Feedback Stabilization

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    Type
    Conference Paper
    Authors
    Chaib-Draa, K.
    Zemouche, A.
    Rajamani, R.
    Wang, Y.
    Bedouhene, F.
    Karimi, H. R.
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Estimation, Modeling and ANalysis Group
    Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/662166
    
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    Abstract
    This paper deals with new finite-time estimation algorithms for Linear Parameter Varying (LPV) discrete-time systems and their application to output feedback stabilization. Two exact finite-time estimation schemes are proposed. The first one provides a direct and explicit estimation algorithm based on the use of delayed outputs, while the second one uses two combined asymptotic observers, connected by a condition of invertibility of a certain time-varying matrix, to recover in a finite-time the solution of the LPV system. Furthermore, a stabilization strategy is proposed as an extension. This strategy, called Two Connected Observers Feedback (2-COF) stabilization method, is based on the use of the two combined observers based estimation algorithm.
    Citation
    Chaib-Draa, K., Zemouche, A., Rajamani, R., Wang, Y., Bedouhene, F., Karimi, H. R., & Laleg-Kirati, T. M. (2019). State Estimation of LPV Discrete-Time Systems with Application to Output Feedback Stabilization. 2019 IEEE 58th Conference on Decision and Control (CDC). doi:10.1109/cdc40024.2019.9030188
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    2019 IEEE 58th Conference on Decision and Control (CDC)
    DOI
    10.1109/CDC40024.2019.9030188
    Additional Links
    https://ieeexplore.ieee.org/document/9030188/
    https://ieeexplore.ieee.org/document/9030188/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9030188
    ae974a485f413a2113503eed53cd6c53
    10.1109/CDC40024.2019.9030188
    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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