Results 11 to 20 of about 192,666 (197)
Actuators, 2023 To address system parameter changes during permanent magnet synchronous motor (PMSM) operation, an H∞ filtering algorithm with a dynamic forgetting factor is proposed for online identification of motor resistance and inductance.
Tianqing Yuan, Jiu Chang, Yupeng Zhang
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KNOWLEDGE MANAGEMENT AS ONE OF OPEN EDUCATION TECHNOLOGIES’ DEVELOPMENT DIRECTIONS
Открытое образование (Москва), 2016 The article deals with the problem of creating knowledge management scenarios as the principal organization of information processes in the open education technologies, as well as the principles of their design and evolution.
Yury A. Kravchenko
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The effect of job similarity on forgetting in multi-task production [PDF]
, 2019 For many decades, research has been done on the effect of learning and forgetting for manual assembly operations. Due to the evolution towards mass customization, cycle time prediction becomes more and more complex.
Aghezzaf, El-Houssaine +5 more
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IEEE Access, 2018 A new cost function that introduces the minimum-disturbance (MD) constraint into the conventional recursive least squares (RLS) with a sparsity-promoting penalty is first defined in this paper.
Zhou Fan Li, Dan Li, Jian Qiu Zhang
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A Battery SOC Estimation Method Based on AFFRLS-EKF
Sensors, 2021 The lithium-ion battery is the key power source of a hybrid vehicle. Accurate real-time state of charge (SOC) acquisition is the basis of the safe operation of vehicles. In actual conditions, the lithium-ion battery is a complex dynamic system, and it is
Ming Li +4 more
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How quickly they forget:The relationship between forgetting and working memory performance [PDF]
, 2014 This study examined the contribution of individual differences in rate of forgetting to variation in working memory performance in children. One hundred and twelve children (mean age 9 years 4 months) completed 2 tasks designed to measure forgetting, as ...
Bayliss, Donna M., Jarrold, Christopher
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IEEE Access, 2019 Recursive least square (RLS) algorithms are considered as a kind of accurate parameter identification method for lithium-ion batteries. However, traditional RLS algorithms usually employ a fixed forgetting factor, which does not have adequate robustness ...
Qiang Song, Yuxuan Mi, Wuxuan Lai
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Large Time-Varying Parameter VARs [PDF]
, 2012 In this paper, we develop methods for estimation and forecasting in large time-varying parameter vector autoregressive models (TVP-VARs). To overcome computational constraints, we draw on ideas from the dynamic model averaging literature which achieve ...
Banbura +26 more
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Tracking and convergence of multi-channel Kalman filters for active noise control [PDF]
, 2013 The feed-forward broadband active noise control problem can be formulated as a state estimation problem to achieve a faster rate of convergence than the filtered reference least mean squares algorithm and possibly also a better tracking performance.
Berkhoff, A.P., Ophem, S. van
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Online EM with weight-based forgetting [PDF]
, 2016 In the online version of the EM algorithm introduced by Sato and Ishii (2000), a time-dependent discount factor is introduced for forgetting the effect of the old estimated values obtained with an earlier, inaccurate estimator.
Agostini, Alejandro +2 more
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