Results 51 to 60 of about 1,012,468 (372)
Position and Speed Control of Brushless DC Motors Using Sensorless Techniques and Application Trends
Sensors, 2010 This paper provides a technical review of position and speed sensorless methods for controlling Brushless Direct Current (BLDC) motor drives, including the background analysis using sensors, limitations and advances.
Jaime Gómez-Gil +2 more
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Convex Banding of the Covariance Matrix [PDF]
, 2014 We introduce a new sparse estimator of the covariance matrix for high-dimensional models in which the variables have a known ordering. Our estimator, which is the solution to a convex optimization problem, is equivalently expressed as an estimator which ...
Bien, Jacob +2 more
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SolidPAC is an interactive battery-on-demand energy density estimator for solid-state batteries
Cell Reports Physical Science, 2022 Summary: Solid-state batteries hold the promise to be highly impactful next-generation technologies for high-energy and -power-density rechargeable battery applications.
Marm Dixit +6 more
doaj +1 more source
Applied SciencesIn the big data era, data are created in huge volume. This leads to the development of storage devices. Many technologies are proposed for the next generation of storage fields.
Thien An Nguyen, Jaejin Lee
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An Improved Sensorless Vector Control Method for IPMSM Drive with Small DC-Link Capacitors
Energies, 2020 In this paper, an improved sensorless vector control method for an interior permanent magnet synchronous motor (IPMSM) drive with small DC-link capacitors is proposed.
Quan Yin +4 more
doaj +1 more source
Confidence intervals in regression centred on the SCAD estimator
, 2012 Consider a linear regression model. Fan and Li (2001) describe the smoothly clipped absolute deviation (SCAD) point estimator of the regression parameter vector.
Farchione, Davide, Kabaila, Paul
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A new method of joint nonparametric estimation of probability density and its support
, 2017 In this paper we propose a new method of joint nonparametric estimation of probability density and its support. As is well known, nonparametric kernel density estimator has "boundary bias problem" when the support of the population density is not the ...
Brown, André EX (5398142) +11 more
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Estimating the Gerber–Shiu Function in the Two-Sided Jumps Risk Model by Laguerre Series Expansion
Mathematics, 2023 In this paper, we consider an insurance risk model with two-sided jumps, where downward and upward jumps typically represent claim amounts and random gains, respectively. We use the Laguerre series to expand the Gerber–Shiu function and estimate it based
Kang Hu, Ya Huang, Yingchun Deng
doaj +1 more source
Optimal Power Allocation for Channel Estimation in MIMO-OFDM System with Per-Subcarrier Transmit Antenna Selection [PDF]
, 2015 A novel hybrid channel estimator is proposed for multiple-input multiple-output orthogonal frequency- division multiplexing (MIMO-OFDM) system with per-subcarrier transmit antenna selection having optimal power allocation among subcarriers.
Rajeswari, K., Thiruvengadam, S. J.
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, 2018 In this article, the analysis of misspecification was extended to the recently introduced stochastic restricted biased estimators when multicollinearity exists among the explanatory variables.
Kayanan, Manickavasagar +1 more
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