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自动化与信息科学期刊
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

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自动化与信息科学期刊

DOI: 10.1615/JAutomatInfScien.v44.i9.30
pages 24-42

Identification of Multivariable Systems Using Steady-state Mode Parameters

Vyacheslav F. Gubarev
Institute of Space Research National Academy of Sciences of Ukraine State Space Agency of Ukraine Kiev, Ukraine
Sergey V. Melnichuk
Institute of Space Research of National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Kiev

ABSTRACT

The paper has developed the updated method for identification of multivariable linear systems described by the state space model using the approximate steady-state mode parameters which are defined by the integration of experimentally obtained output signals under the harmonic excitation on the input. The method allows one to update the model of dimension maximum permissible by stability condition to make it possible to approximate the real system output with accuracy consistent with errors in the obtained data.

REFERENCES

  1. Alexandrov A.G., Method of frequency parameters.

  2. Alexandrov A.G. , Finite-frequency identification: multivariable object.

  3. Orlov Yu.F. , Identification by frequency parameters.

  4. Orlov Yu.F. , Structural identification of multivariable object.

  5. Orlov Yu.F. , Identification by the frequency parameters under parallel tests.

  6. Gubarev V.F. , Rational approximation of systems with distributed parameters.

  7. Gubarev V.F. , Method of iterative identification of multidimensional systems by uncertain data. Part I. Theoretical aspects.

  8. Golub G.H.; van Loan Ch.F. , Matrix computations [Russian translation].


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