Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Raquel Caballero-Águila"'
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:
Sensors, Vol 22, Iss 21, p 8505 (2022)
Due to its great importance in several applied and theoretical fields, the signal estimation problem in multisensor systems has grown into a significant research area. Networked systems are known to suffer random flaws, which, if not appropriately ad
Externí odkaz:
https://doaj.org/article/b2a67ae7b4e148f1b95202bf932cc69c
Publikováno v:
Sensors, Vol 20, Iss 22, p 6445 (2020)
In this paper, the distributed filtering problem is addressed for a class of discrete-time stochastic systems over a sensor network with a given topology, susceptible to suffering deception attacks, launched by potential adversaries, which can random
Externí odkaz:
https://doaj.org/article/cdc674c5bbb14db8b4226739476252ce
Publikováno v:
Sensors, Vol 19, Iss 14, p 3112 (2019)
In this paper, a cluster-based approach is used to address the distributed fusion estimation problem (filtering and fixed-point smoothing) for discrete-time stochastic signals in the presence of random deception attacks. At each sampling time, measur
Externí odkaz:
https://doaj.org/article/a47e90f825694491984b47d609a8473a
Publikováno v:
Sensors, Vol 18, Iss 8, p 2697 (2018)
This paper is concerned with the least-squares linear centralized estimation problem in multi-sensor network systems from measured outputs with uncertainties modeled by random parameter matrices. These measurements are transmitted to a central proces
Externí odkaz:
https://doaj.org/article/fced9440e2ae4819b6997366902fb607
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2015 (2015)
The distributed fusion state estimation problem is addressed for sensor network systems with random state transition matrix and random measurement matrices, which provide a unified framework to consider some network-induced random phenomena. The proc
Externí odkaz:
https://doaj.org/article/54da9b8e825245c1ad9bf46275771b56
Publikováno v:
Mathematics, Vol 5, Iss 3, p 45 (2017)
In this paper, the information fusion estimation problem is investigated for a class of multisensor linear systems affected by different kinds of stochastic uncertainties, using both the distributed and the centralized fusion methodologies. It is ass
Externí odkaz:
https://doaj.org/article/e32e1f9ee94241219bee5d1f4155b9dc
Publikováno v:
Sensors, Vol 16, Iss 6, p 847 (2016)
This paper is concerned with the distributed and centralized fusion filtering problems in sensor networked systems with random one-step delays in transmissions. The delays are described by Bernoulli variables correlated at consecutive sampling times,
Externí odkaz:
https://doaj.org/article/b98bf7ef2aa04b14a340dc10c3fbf51c
Publikováno v:
Information Sciences. 637:118950
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e3a6156301a9693a83e91dfa79e2479
https://doi.org/10.1016/j.ins.2023.118950
https://doi.org/10.1016/j.ins.2023.118950
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 119:107093
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f14c00fa588b52f483c56dfc27f46b23
https://doi.org/10.1016/j.cnsns.2023.107093
https://doi.org/10.1016/j.cnsns.2023.107093