Zobrazeno 1 - 10
of 63
pro vyhledávání: '"J. García ligero"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 14550-14577 (2023)
This paper examines the distributed filtering and fixed-point smoothing problems for networked systems, considering random parameter matrices, time-correlated additive noises and random deception attacks. The proposed distributed estimation algorithm
Externí odkaz:
https://doaj.org/article/58ae9f897a2b459e8c66c93a0d8a5f4c
Publikováno v:
International Journal of Systems Science. 51:731-745
This paper addresses the linear least-squares estimation of a signal from measurements subject to stochastic sensor gain degradation and random delays during the transmission. These uncertainty phenomena, common in network systems, have traditionally
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8eb39a97885393ea3aaca22c730730
https://doi.org/10.1080/00207721.2020.1737757
https://doi.org/10.1080/00207721.2020.1737757
Publikováno v:
Mathematics, Vol 8, Iss 1948, p 1948 (2020)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Mathematics
Volume 8
Issue 11
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Mathematics
Volume 8
Issue 11
This paper investigates the distributed fusion estimation of a signal for a class of multi-sensor systems with random uncertainties both in the sensor outputs and during the transmission connections. The measured outputs are assumed to be affected by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0996179d8d3bc3f6652c3797053b638d
https://www.mdpi.com/2227-7390/8/11/1948
https://www.mdpi.com/2227-7390/8/11/1948
This paper addresses the least-squares linear filtering problem of signals from measurements which may be randomly delayed by one or two sampling times. The delays are modelled by a homogeneous discrete-time Markov chain to capture the dependence bet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f28ea733c620595af0bd8a59f416d98e
https://doi.org/10.1080/00207160.2017.1422496
https://doi.org/10.1080/00207160.2017.1422496
Publikováno v:
Applied Mathematical Modelling. 45:802-812
This paper addresses the problem of distributed fusion estimation from measurements with packet dropouts and cross-correlated noises acquired from different sensors. Assuming that the packet dropouts are modelled by independent Bernoulli random varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d61c5644eaee05341f176aeb2fec344c
https://doi.org/10.1016/j.apm.2017.01.023
https://doi.org/10.1016/j.apm.2017.01.023
Publikováno v:
Signal Processing. 106:114-122
This paper addresses the least-squares linear estimation problem in networked systems with uncertain observations and one-step random delays in the measurements. The uncertainties in the observations and the delays are modeled by sequences of Bernoul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28406fd9e880c7ce401d2f81ccabb61d
https://doi.org/10.1016/j.sigpro.2014.07.003
https://doi.org/10.1016/j.sigpro.2014.07.003
Publikováno v:
Applied Mathematics and Computation. 219:2932-2948
Least-squares linear estimation of signals from randomly delayed measurements acquired from multiple sensors with random delays modeled by homogeneous Markov chains is addressed. Assuming that the state-space model is unknown and using the informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b19c3d1e5f393992acf0ceb67a5dd5c
https://doi.org/10.1016/j.amc.2012.09.017
https://doi.org/10.1016/j.amc.2012.09.017
Publikováno v:
Mathematical and Computer Modelling. 54:2277-2286
The problem is considered of estimating a signal based on measurements with multiple packet dropouts when the probability of data arrival at a processing unit is known. Assuming that the equation which describes the signal is unknown, we derive recur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::170ad6cf59adccb80ddbfdcaf775a0a1
https://doi.org/10.1016/j.mcm.2011.05.036
https://doi.org/10.1016/j.mcm.2011.05.036
Publikováno v:
Journal of Computational and Applied Mathematics. 236:234-242
The least-squares linear estimation of signals from randomly delayed measurements is addressed when the delay is modeled by a homogeneous Markov chain. To estimate the signal, recursive filtering and fixed-point smoothing algorithms are derived, usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21fd3c9438f6aa552581452bc65fe17
https://doi.org/10.1016/j.cam.2011.06.021
https://doi.org/10.1016/j.cam.2011.06.021
Publikováno v:
Computational Statistics & Data Analysis. 55:312-323
The problem of estimating a degraded image using observations acquired from multiple sensors is addressed when the image degradation is modelled by white multiplicative and additive noise. Assuming the state-space model is unknown, the centralized an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1372bcdfcb27971c438a8d5a582afce
https://doi.org/10.1016/j.csda.2010.04.027
https://doi.org/10.1016/j.csda.2010.04.027