Paper Info
Title
Multisensor Out of Sequence Data Fusion for Estimating the State of Discrete Control Systems
Abstract
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.
Year
DOI
Venue
2009
10.1109/TAC.2009.2020667
IEEE Trans. Automat. Contr.
Keywords
Field
DocType
State estimation,Control systems,Communication system control,Sensor fusion,MIMO,Sensor systems,Communication networks,Multitasking,Real time systems,Aerodynamics
Extended Kalman filter,Linear system,Control theory,Real-time Control System,Kalman filter,Sensor fusion,Fusion center,Control system,System identification,Mathematics
Journal
Volume
Issue
ISSN
54
7
0018-9286
Citations 
PageRank 
References 
10
0.72
6
Authors
4
Name
Order
Citations
PageRank
Eva Besada-Portas117414.02
Jose A. Lopez-Orozco2555.76
Juan Besada38915.78
Jesús De La Cruz427126.56