[EN] Considerable efforts have been devoted to the development of predictive models that, from a certain set of data related to an engine, and making use of an adequate representation of the effect of the silencing elements, ...
Aguado, Alberto(Universitat Politècnica de València, 2010-09-27)
[EN] In this paper, a predictive-adaptive controller based on a so called “pseudo-state space” model is described. The proposed algorithm has, among other advantages, the fact that the square root of the Riccati matrix is ...
Jiménez-Martínez, Mª Jesús; Quesada-Olmo, María Nieves; Zancajo-Jimeno, José Julio; Mostaza-Pérez, Teresa(MDPI AG, 2023-03)
[EN] Historically, monitoring possible deformations in suspension bridges has been a crucial issue for structural engineers. Therefore, to understand and calibrate models of the "load-structureresponse",
it is essential ...
The question of determination of displacements in control networks with two or more measuring epochs is a well-known problem with broad applications to different fields of science and engineering. The standard procedure, ...
Giménez Luján, José Fernando(Universitat Politècnica de València, 2021-10-18)
[ES] Sin lugar a dudas, son las actividades humanas las que, en mayor medida, tienen mayor incidencia en la contaminación que sufre el medio ambiente. Hoy en día el estudio de los distintos tipos de contaminación (atmosférica, ...
[EN] The use of iterative algebraic methods applied to the reconstruction of computed tomography (CT) medical images is proliferating to reconstruct high-quality CT images using far fewer views than through analytical ...
Velsink, Hiddo(Editorial Universitat Politècnica de València, 2023-01-27)
[EN] Multiple epochs of geodetic deformation observations in 1D, 2D or 3D with their covariance matrices can be adjusted using the least-squares method and tested for deformation hypotheses, using the author’s hypothesis ...
Baselga Moreno, Sergio; García-Asenjo Villamayor, Luis(Cambridge University Press, 2008-07)
[EN] In the last decades, robust estimation has been widely applied to overcome the presence of gross errors in observations. Recently it has been shown that robust estimation, if computed appropriately, is able to cope ...