RT Journal Article
T1 Multisensor out of sequence data fusion for estimating the state of discrete control systems
A1 Besada Portas, Eva
A1 López Orozco, José Antonio
A1 Cruz García, Jesús Manuel de la
A1 Besada, Juan A.
AB The fusion center of a complex control system estimates its state with the information provided by different sensors. Physically distributed sensors, communication networks, pre-processing algorithms, multitasking, etc, introduce non-systematic delays in the arrival of information to the fusion center, making the information available Out-Of-Sequence (OOS). For real-time control systems, the state has to be efficiently estimated with all the information received so far. So, several solutions of the OOS problem for dynamic Multiple-Input Multiple-Output (MIMO) discrete control systems traditionally solved by the Kalman Filter (KF) have been proposed recently. This paper presents two new streamlined algorithms for the linear and non-linear case. IFAsyn, the linear algorithm, is equivalent to other optimal solutions but more general, efficient and easy to implement. EIFAsyn, the nonlinear one, is a new solution of the OOS problem in the Extended KF (EKF) framework.
PB IEEE-Inst Electrical Electronics Engineers INC
SN 0018-9286
YR 2009
FD 2009-07
LK https://hdl.handle.net/20.500.14352/43856
UL https://hdl.handle.net/20.500.14352/43856
LA eng
NO © 2009 IEEE. This work was supported by the Spanish Grants TAP/97-0607-C03, DPI2006-15661-C02-01, and CAM-S-0505/DPI/0391 and by the Spanish post-doctoral Grant EX-2007-0915. Recommended by Associate Editor Z. Wang.
NO Spanish Grants
NO Spanish post-doctoral Grant
DS Docta Complutense
RD 1 ene 2026