Results 21 to 30 of about 33,037,406 (304)
Closed Form Solution of Synchronous Machine Short Circuit Transients
ITB Journal of Engineering Science, 2010 This paper presents the closed form solution of the synchronous machine transients undergoing short circuit. That analytic formulation has been derived based on linearity and balanced conditions of the fault.
Gibson H.M. Sianipar
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Estimating the Competitive Storage Model with Stochastic Trends in Commodity Prices
Econometrics, 2021 We propose a State-Space Model (SSM) for commodity prices that combines the competitive storage model with a stochastic trend. This approach fits into the economic rationality of storage decisions and adds to previous deterministic trend specifications ...
Kjartan Kloster Osmundsen +3 more
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2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019 V1:8 pages, 4 figures.
Simon J. Godsill +2 more
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IEEE Open Access Journal of Power and Energy, 2021 The fault location problem has been tackled mainly through impedance-based techniques, the travelling wave principle and more recently machine learning algorithms. These techniques require both current and voltage measurement.
Nicolas Cifuentes, Bikash C. Pal
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TIME-VARIANT MODEL OF HEAT-AND-MASS EXCHANGE FOR STEAM HUMIDIFIER
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2020 The dynamical model of heat-mass exchange for a steam humidifier with lumped parameters, which can be used for synthesis of control systems by inflowing-exhaust ventilation installations, or industrial complexes of artificial microclimate, is considered.
Igor Golinko, Volodymyr Drevetskiy
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Semisupervised Deep State-Space Model for Plant Growth Modeling
Plant Phenomics, 2020 The optimal control of sugar content and its associated technology is important for producing high-quality crops more stably and efficiently. Model-based reinforcement learning (RL) indicates a desirable action depending on the type of situation based on
S. Shibata, R. Mizuno, H. Mineno
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Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol
Journal of Statistical Software, 2021 Stochastic volatility (SV) models are nonlinear state-space models that enjoy increasing popularity for fitting and predicting heteroskedastic time series.
Darjus Hosszejni, Gregor Kastner
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Bellman Filtering for State-Space Models [PDF]
SSRN Electronic Journal, 2020 This article presents a filter for state-space models based on Bellman's dynamic programming principle applied to the mode estimator. The proposed Bellman filter generalises the Kalman filter including its extended and iterated versions, while remaining equally inexpensive computationally.
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3D State Decomposition Modeling Method for MBSE in Space Engineering [PDF]
, 2012 The increasing number of space missions and the market environment make it mandatory that the design process and design models have to be reused in future space missions.
Gerndt, Andreas +5 more
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Frontiers in Energy Research, 2022 The Cummins equation is commonly applied to describe the motion of floating structures. Because of the convolution term, the efficiency of calculation is low and the error accumulation problems in numerical integration calculation are serious.
Li Wei +6 more
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