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Running Stochastic System Identification

Jan Kauler, Jiří Kacer, Radek Uher

Abstract


Stochastically identification is important from the point of view to determine a behavior of the system for an adaptation of the regulator. Deterministic signals for system identification give us only small variety; conversely with help of the white noise as a test signal, we will get more information about system. Hence is the task of running identification designed effective numerical procedure in the time domain. Using of the numerical method is advantageous form both viewpoints time intensiveness of the system identification, and accuracy of the impulse response estimation. The importance in the solution has the definition of the relation between velocity of the regulated system parameters changes and the ability of the designed identification method to react on these changes.
Full paper

2004-02-12

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