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2019
It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.
In this paper, application of data-driven Linear quadratic regulator (LQR) approach for a permanent magnet synchronous machines (PMSM) is introduced. The gain of feedback control is calculated using only input and output data of the PMSM. The estimation algorithm of system Markov parameters as well as an extended observability matrix is given. Simulation results of the proposed controller and model-based LQR are compared using Matlab/Simulink.