Open AccessActive identification of object parameters with non-scalar inputs-outputs
Author(s) -
Galina V. Troshina,
Aleksandr Voevoda
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1703/1/012029
Subject(s) - scalar (mathematics) , object (grammar) , convergence (economics) , estimation theory , identification (biology) , computer science , mathematics , control theory (sociology) , mathematical optimization , algorithm , artificial intelligence , geometry , control (management) , economics , botany , biology , economic growth
In this work, within the framework of the active identification problem, the recurrent least squares method is used to determine the object parameters with non-scalar signals at the input and output of the system. The proposed technique is shown using the example of a third order object. Calculations are executed in Simulink environment. Parameter estimates are received for a discrete description of a third-order object as a result of modeling in Simulink environment. Convergence graphs of parameter estimates to the base values of the in question object are given. It should be noted the rapid convergence of parameter estimates. A meander type signal was used to test the proposed parameter estimation algorithm.