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Performance of various estimators in dynamic panel data models
(Centro de Investigación y Docencia Económicas, División de Economía, 2022)
A dynamic parameter estimator to control chaos with distinct feedback schemes
(Elsevier B.V, 2009)
Comparative analysis of synchronization algorithms based on PLL, RDFT and Kalman Filter
(2007-12-01)
This paper discusses the main characteristics and presents a comparative analysis of three synchronization algorithms based respectively, on a Phase-Locked Loop, a Kalman Filter and a Discrete Fourier Transform. It will ...
Comparative analysis of synchronization algorithms based on PLL, RDFT and Kalman Filter
(2007-12-01)
This paper discusses the main characteristics and presents a comparative analysis of three synchronization algorithms based respectively, on a Phase-Locked Loop, a Kalman Filter and a Discrete Fourier Transform. It will ...
Modeling phytoplankton community in reservoirs. A comparison between taxonomic and functional groups-based models
(Elsevier, 2015-09-23)
In this paper we address the formulation of two mechanistic water quality models that differ in the way the phytoplankton community is described. We carry out parameter estimation subject to differential-algebraic constraints ...
Impact on Stability by the Use of Memory in Traub-Type Schemes
In this work, two Traub-type methods with memory are introduced using accelerating parameters. To obtain schemes with memory, after the inclusion of these parameters in Traub's method, they have been designed using linear ...
Stochastic parameterization identification using ensemble Kalman filtering combined with maximum likelihood methods
(Taylor & Francis, 2018-01)
For modelling geophysical systems, large-scale processes are described through a set of coarse-grained dynamical equations while small-scale processes are represented via parameterizations. This work proposes a method for ...