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Transformation algorithm for identification of continuous-time multivariable systems from discrete data

Transformation algorithm for identification of continuous-time multivariable systems from discrete data

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© The Institution of Electrical Engineers
Published

The problem of estimation of the state-space model of a multivariable continuous-time system based on the observation of sampled input-output data is considered. The letter deals mainly with the determination of the continuous-time model from a linear discrete-time model estimated from the observations.

Inspec keywords: parameter estimation; sampled data systems; state-space methods; discrete time systems; multivariable control systems

Other keywords: state-space model; continuous-time multivariable systems; sampled input-output data; linear discrete-time model; transformation algorithm; control systems; estimation

Subjects: Discrete control systems; Multivariable control systems; Simulation, modelling and identification

References

    1. 1)
      • N.K. Sinha , Y.H. Kwong . Recursive identification of the parameters of linear multivariable systems. Automatica , 471 - 475
    2. 2)
      • R. Guidorzi . Canonical structures in the identification of multi-variable systems. Automatica , 361 - 374
    3. 3)
      • N.K. Sinha . Estimation of transfer function of continuous system from sampled data. Proc. IEE , 5 , 612 - 614
    4. 4)
      • H. El-Sherief , N.K. Sinha . Choice of models for the identification of linear multivariable discrete-time systems. Proc. IEE , 12 , 1326 - 1330
    5. 5)
      • Strmčnik, S., Bremšak, F.: `Some new transformation algorithms in the identification of continuous time multivariable systems using discrete identification methods', Preprints 5th IFAC symposium on identification and system parameter estimation, 1979, Darnstadt, W. Germany, p. 397–405.
    6. 6)
      • L. Keviczky . Transformációs módeszerek diszkrét átvitele fügvények folytonos megfeleloinek meghátarozásáa. Mérés és Automatika , 27 - 33
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