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Estimating brazilian monthly GDP: a state-space approach
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2014-09-18)
This paper has several original contributions. The rst is to employ a superior interpolation method that enables to estimate, nowcast and forecast monthly Brazilian GDP for 1980-2012 in an integrated way; see Bernanke, ...
Estimating model-error covariances in nonlinear state-space models using Kalman smoothing and the expectation-maximization algorithm
(Wiley, 2017-04)
Specification and tuning of errors from dynamical models are important issues in data assimilation. In this work, we propose an iterative expectation-maximization (EM) algorithm to estimate the model-error covariances using ...
Rabbit: A novel approach to find data-races during state-space explorationRabbit: A novel approach to find data-races during state-space exploration
(Universidade Federal de Pernambuco, 2015)
Identification of continuous-time state-space models from non-uniform fast-sampled data
(INST ENGINEERING TECHNOLOGY-IET, 2011)
Comments on predictive torque control of induction machines based on state-space models
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 2014)
Proposal of an alternative transmission line model for symmetrical and asymmetrical configurations
(Elsevier B.V., 2011-10-01)
This article shows a transmission line model for simulation of fast and slow transients, applied to symmetrical or asymmetrical configurations. A transmission line model is developed based on lumped elements representation ...
Proposal of an alternative transmission line model for symmetrical and asymmetrical configurations
(Elsevier B.V., 2011-10-01)
This article shows a transmission line model for simulation of fast and slow transients, applied to symmetrical or asymmetrical configurations. A transmission line model is developed based on lumped elements representation ...