Recursive linear estimation for discrete-time systems in the presence of different multiplicative observation noises.
Sánchez-González, C., García-Muñoz, T.M. (2010)
Discrete Dynamics in Nature and Society
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Sánchez-González, C., García-Muñoz, T.M. (2010)
Discrete Dynamics in Nature and Society
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S. Nakamori, A. Hermoso, J. Jiménez, J. Linares (2005)
Extracta Mathematicae
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In this paper two recursive algorithms are proposed and compared as a solution of the least mean-squared error linear filtering problem of a wide-sense stationary scalar signal from uncertain observations perturbed by white and coloured additive noises. Considering that the state-space model of the signal is not available and that the variables modelling the uncertainty are not independent, the proposed algorithms are derived by using covariance information. The difference between both...
Józef Korbicz (1985)
Kybernetika
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Petr Franěk (2002)
Kybernetika
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The impact of additive outliers on a performance of the Kalman filter is discussed and less outlier-sensitive modification of the Kalman filter is proposed. The improved filter is then used to obtain an improved smoothing algorithm and an improved state-space model parameters estimation.
Fan, Chunshi, You, Zheng (2009)
Mathematical Problems in Engineering
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Chen Hu, Weiwei Qin, Zhenhua Li, Bing He, Gang Liu (2017)
Kybernetika
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This paper considers a distributed state estimation problem for multi-agent systems under state inequality constraints. We first give a distributed estimation algorithm by projecting the consensus estimate with help of the consensus-based Kalman filter (CKF) and projection on the surface of constraints. The consensus step performs not only on the state estimation but also on the error covariance obtained by each agent. Under collective observability and connective assumptions, we show...
Pardal, Paula Cristiane Pinto Mesquita, Kuga, Helio Koiti, Vilhena de Moraes, Rodolpho (2009)
Mathematical Problems in Engineering
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