Unscented Filtering from Delayed Observations with Correlated Noises Hermoso-Carazo, Aurora Linares-Pérez, Josefa Filtering algorithm Nonlinear system Noisy measurements Bernoulli 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. 2014-09-19T11:03:07Z 2014-09-19T11:03:07Z 2009 info:eu-repo/semantics/article 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] 1024-123X http://hdl.handle.net/10481/33096 10.1155/2009/681593 eng info:eu-repo/semantics/openAccess Hindawi Publishing Corporation