Robust controller with state-parameter estimation for uncertain networked control system

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Robust controller with state-parameter estimation for uncertain networked control system

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This study presents the design of an adaptive Kalman filter for networked systems involving random ‘sensor delays, missing measurements and packet dropouts’. Two different adaptive filters are considered to estimate unknown parameter vector associated with the system matrices and subsequently the estimation of state and parameters of the system based on the minimisation of square of the output prediction error is adopted in bootstrap manner. An estimator-based robust controller design has been proposed for asymptotic stability of the system whose parameters can vary within a known bound. The effectiveness of the designed algorithms is tested through a numerical example under different cases.

Inspec keywords: robust control; uncertain systems; parameter estimation; matrix algebra; adaptive Kalman filters; networked control systems; state estimation; delays; control system synthesis; asymptotic stability

Other keywords: uncertain networked control system; estimator-based robust controller design; unknown parameter vector estimation; output prediction error square minimisation; random sensor delay; adaptive Kalman filter design; bootstrap manner; state-parameter estimation; asymptotic stability; missing measurement; system matrix; packet dropout

Subjects: Signal processing theory; Control system analysis and synthesis methods; Linear algebra (numerical analysis); Distributed parameter control systems; Stability in control theory

References

    1. 1)
    2. 2)
      • Y.M. El-Fattah . Recursive self-tuning algorithm for adaptive Kalman filtering. IEE Proc. Control Theory Appl. , 341 - 344
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
    14. 14)
    15. 15)
      • F.-Y. Wang , D. Liu . (2008) Networked control systems theory and applications.
    16. 16)
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