2019
DOI: 10.1007/978-3-030-31362-3_17
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The Exact Frequency Domain Solution for the Periodic Synchronous Averaging Performed in Discrete-Time

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Cited by 10 publications
(4 citation statements)
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“…The periodic voltage v(t), which is depicted in Figure 1a, can be found analytically using frequency characteristic (57). Its formal representation, which is written with 2-digit precision for the sake of compactness, is as follows: The effective values of the voltage Veff and current Ieff, evaluated using ( 40) and ( 41), are, respectively, 153.0825 mV and 3.5355 mA, whose product yields the apparent power by definition (39): Papp = 541.2 μVA.…”
Section: Finite Sum Of Harmonics Current Excitationmentioning
confidence: 99%
See 2 more Smart Citations
“…The periodic voltage v(t), which is depicted in Figure 1a, can be found analytically using frequency characteristic (57). Its formal representation, which is written with 2-digit precision for the sake of compactness, is as follows: The effective values of the voltage Veff and current Ieff, evaluated using ( 40) and ( 41), are, respectively, 153.0825 mV and 3.5355 mA, whose product yields the apparent power by definition (39): Papp = 541.2 μVA.…”
Section: Finite Sum Of Harmonics Current Excitationmentioning
confidence: 99%
“…The effective values of the voltage V eff and current I eff , evaluated using ( 40) and ( 41), are, respectively, 153.0825 mV and 3.5355 mA, whose product yields the apparent power by definition (39): P app = 541.2 µVA.…”
Section: Pulse Train Current Excitationmentioning
confidence: 99%
See 1 more Smart Citation
“…To ensure the higher performance of computational processes, the concept of agents was adopted and, later, agents supporting the DM process were introduced in a system known as agent mining (AM). The distributed nature of AM provides several advantages for DM, such as autonomy, scalability, reliability, security, interactivity, and high speed (Han, Kamber, and Pei 2012;Borodin et al 2019;Guschina et al 2019). The ability of agents to learn from their experience complements the data mining process.…”
Section: Introductionmentioning
confidence: 99%