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  • Event-Triggered H∞ State Estimation of 2-DOF Quarter-Car Suspension Systems With Nonhomogeneous Markov Switching

    Author(s)
    Yan, H
    Sun, J
    Zhang, H
    Zhan, X
    Yang, F
    Griffith University Author(s)
    Yang, Fuwen
    Year published
    2018
    Metadata
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    Abstract
    In this paper, the event-triggered H∞ state estimation problem is investigated for a two-degree-of-freedom quarter-car suspension system operated over a switching-channel network environment. First, the channel-switching is governed by a nonhomogeneous Markov chain whose probability transition matrix is time-varying. Then, a Markov jump linear system model is adopted to represent the overall networked system in view of the event-triggered communication scheme, signal quantization and random packet losses on account of the limited network bandwidth. By virtue of the Lyapunov functional and linear matrix inequality method, the ...
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    In this paper, the event-triggered H∞ state estimation problem is investigated for a two-degree-of-freedom quarter-car suspension system operated over a switching-channel network environment. First, the channel-switching is governed by a nonhomogeneous Markov chain whose probability transition matrix is time-varying. Then, a Markov jump linear system model is adopted to represent the overall networked system in view of the event-triggered communication scheme, signal quantization and random packet losses on account of the limited network bandwidth. By virtue of the Lyapunov functional and linear matrix inequality method, the event-triggered H∞ state estimation problem is transformed into an optimization problem that switching-channel-dependent estimators are designed such that the estimation error system is exponentially stable in the mean square sense and achieves a desired performance level. Finally, a simulation example is used to demonstrate the validity of proposed design method.
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    Journal Title
    IEEE Transactions on Systems, Man, and Cybernetics: Systems
    DOI
    https://doi.org/10.1109/TSMC.2018.2852688
    Note
    This publication has been entered into Griffith Research Online as an Advanced Online Version.
    Subject
    Automation engineering
    Publication URI
    http://hdl.handle.net/10072/382813
    Collection
    • Journal articles

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