Results 131 to 140 of about 151,769 (153)
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2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
In this paper, the conditional probability density function of the current weight deviations given the preceding weight deviations is generated for a wide array of proportionate type least mean square algorithms. Additionally, the application of using the conditional probability density function to calculate the steady-state joint conditional ...
Kevin T. Wagner, Milos I. Doroslovacki
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In this paper, the conditional probability density function of the current weight deviations given the preceding weight deviations is generated for a wide array of proportionate type least mean square algorithms. Additionally, the application of using the conditional probability density function to calculate the steady-state joint conditional ...
Kevin T. Wagner, Milos I. Doroslovacki
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2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe), 2020
The aim of this paper is to investigate the impact of steady-state deviations in the grid-frequency on the performance of grid-forming converter control strategies. In particular, the virtual synchronous machine (VSM) control structure has been the focus of study in this paper.
Anant Narula +5 more
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The aim of this paper is to investigate the impact of steady-state deviations in the grid-frequency on the performance of grid-forming converter control strategies. In particular, the virtual synchronous machine (VSM) control structure has been the focus of study in this paper.
Anant Narula +5 more
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Signal Processing, 2020
Abstract The l0-norm-constraint LMS (l0-LMS) algorithm is one of the widely used sparse LMS algorithms for the identification of sparse system, and its performance is quite attractive compared to other precursors. However, l0-LMS is still confronted with some limitations on the optimal parameter selection and the estimated coefficient accuracy of ...
Lei Luo, Antai Xie
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Abstract The l0-norm-constraint LMS (l0-LMS) algorithm is one of the widely used sparse LMS algorithms for the identification of sparse system, and its performance is quite attractive compared to other precursors. However, l0-LMS is still confronted with some limitations on the optimal parameter selection and the estimated coefficient accuracy of ...
Lei Luo, Antai Xie
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Minimum Mean Deviation from the Steady-State Condition in Queueing Theory
2003For frequent cases when random perturbations alter the steady-state condition of a queueing system, the paper proposes corrections by constructing new probability distributions for the number of arrivals, interarrival time, or/and service time by minimizing the mean chi-square deviation from the corresponding steady-state probability distributions ...
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SAE International Journal of Engines, 2012
<div class="section abstract"><div class="htmlview paragraph">Deviations between transient and steady state operation of a modern light duty diesel engine were identified by comparing rapid load transitions to steady state tests at the same speeds and fueling rates.
William Glewen +4 more
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<div class="section abstract"><div class="htmlview paragraph">Deviations between transient and steady state operation of a modern light duty diesel engine were identified by comparing rapid load transitions to steady state tests at the same speeds and fueling rates.
William Glewen +4 more
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Physica A: Statistical Mechanics and its Applications, 1988
Abstract Our analysis of reacting systems displaced from equilibrium by a matter flux across the boundaries has shown that the state of minimum entropy production differs from the steady state, even in the near equilibrium regime. When the displacement δ from equilibrium is small, the derivative of the dissipation at the steady state and the ...
K.L.C. Hunt, P.M. Hunt, John Ross
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Abstract Our analysis of reacting systems displaced from equilibrium by a matter flux across the boundaries has shown that the state of minimum entropy production differs from the steady state, even in the near equilibrium regime. When the displacement δ from equilibrium is small, the derivative of the dissipation at the steady state and the ...
K.L.C. Hunt, P.M. Hunt, John Ross
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International Journal of Hydrogen Energy, 1995
Abstract In the course of studies of permeation of electrolytically generated hydrogen through membranes of palladium and the palladium alloy Pd77Ag23, further observations have been made of steady-state permeation rate accelerations on interruption of electrolysis.
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Abstract In the course of studies of permeation of electrolytically generated hydrogen through membranes of palladium and the palladium alloy Pd77Ag23, further observations have been made of steady-state permeation rate accelerations on interruption of electrolysis.
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2020 IEEE International Conference on Energy Internet (ICEI), 2020
Phasor measurement unit (PMU), which could provide high-frequency phasors including the amplitude and phase angle synchronized with GPS/ BDS signal, plays vital role in dynamic monitoring of power system. However, if the GPS/BDS signal could not be received, the time of PMU, which is depending on the crystal oscillator, would have a deviation due to ...
Wen Xiong +8 more
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Phasor measurement unit (PMU), which could provide high-frequency phasors including the amplitude and phase angle synchronized with GPS/ BDS signal, plays vital role in dynamic monitoring of power system. However, if the GPS/BDS signal could not be received, the time of PMU, which is depending on the crystal oscillator, would have a deviation due to ...
Wen Xiong +8 more
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A clarifying note on converting to log-deviations from the steady state [PDF]
Economics Bulletin, 2008 The paper discusses the mathematical background and several alternative strategies of converting equations as typically found in dynamic stochastic general equilibrium models into log-deviations from the steady state form. Guidance is provided on when to use which computational strategy.
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IEEE Transactions on Power Systems, 1996
This paper describes recent work on the theoretical and algorithmic enhancements of the MIT method for power system steady-state voltage monitoring and control. Under the conditions that no dynamic voltage problems are present, the method is intended primarily: to monitor steady-state voltage and reactive power conditions; to identify potential problem
A. Zobian, M.D. Ilic
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This paper describes recent work on the theoretical and algorithmic enhancements of the MIT method for power system steady-state voltage monitoring and control. Under the conditions that no dynamic voltage problems are present, the method is intended primarily: to monitor steady-state voltage and reactive power conditions; to identify potential problem
A. Zobian, M.D. Ilic
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