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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/33096

Title: Unscented Filtering from Delayed Observations with Correlated Noises
Authors: Hermoso-Carazo, Aurora
Linares-Pérez, Josefa
Issue Date: 2009
Abstract: A filtering algorithm based on the unscented transformation is proposed to estimate the state of a nonlinear system from noisy measurements which can be randomly delayed by one sampling time. The state and observation noises are perturbed by correlated nonadditive noises, and the delay is modeled by independent Bernoulli random variables.
Sponsorship: This work has been partially supported by the Ministerio de Ciencia e Innovación and the Junta de Andalucía through Projects MTM2008-05567 and P07-FQM-02701, respectively.
Publisher: Hindawi Publishing Corporation
Keywords: Filtering algorithm
Nonlinear system
Noisy measurements
Bernoulli
URI: http://hdl.handle.net/10481/33096
ISSN: 1024-123X
Citation: Hermoso-Carazo, A.; Linares-Pérez, J. Unscented Filtering from Delayed Observations with Correlated Noises. Mathematical Problems in Engineering, 2009: 681593 (2009). [http://hdl.handle.net/10481/33096]
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