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Pulse system dynamics forecasting using on-line time series data

Abstract : An approach to dynamics forecasting is proposed by an example of DC-DC PWM converter dynamics simulation. The main algorithm of this approach allows the on-line identification of sub-harmonic motion types and corresponding parameter vectors. The consistency of the identification results forms the tendency of the parameter variation. Then forecasting of dynamics evolution with the nearest bifurcation boundaries, constructed preliminary, is suggested.
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Submitted on : Wednesday, December 30, 2020 - 9:33:46 PM
Last modification on : Tuesday, October 26, 2021 - 8:14:03 AM


  • HAL Id : hal-03091332, version 1



Anna Monovskaya, Yuri V. Kolokolov, Kondo Hloindo Adjallah. Pulse system dynamics forecasting using on-line time series data. EPE-PEMC'2004 the 10th International Power Electronics and Motion Control Conference, Sep 2004, Riga, Latvia. pp.CD-ROM. ⟨hal-03091332⟩



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