Identification of time-varying parameters of linear time-varying systems
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https://doi.org/10.54939/1859-1043.j.mst.CAPITI.2024.168-174Keywords:
Identification; Linear time-varying system; Parametrization; Linear regression model.Abstract
Identification of time-varying parameters of linear time-varying systems is a complex problem, and until today there is still no general method to solve the above problem. In this article, a new identification method is proposed to help parameterize the control object model with parameters that vary linearly over time into a linear regression model. Then combine the use of dynamic regressor extension and mixing method (DREM) to estimate the parameters of this model to help increase the accuracy of convergence of the parameters to the real value. Simulations on Matlab/Simulink demonstrate the correctness of the proposed algorithm.
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