Multisensor Out of Sequence Data Fusion for Estimating the State of Discrete Control Systems Export

@article{EPortas09, 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.}, author = {Besada-Portas, E. and Lopez-Orozco, J. A. and Besada, J. A. and de la Cruz, J. M.}, citeulike-article-id = {6095802}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TAC.2009.2020667}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5152909}, day = {30}, doi = {10.1109/TAC.2009.2020667}, journal = {Automatic Control, IEEE Transactions on}, keywords = {1451, oosm}, month = {June}, number = {7}, pages = {1728--1732}, posted-at = {2009-11-10 21:05:00}, priority = {2}, title = {Multisensor Out of Sequence Data Fusion for Estimating the State of Discrete Control Systems}, url = {http://dx.doi.org/10.1109/TAC.2009.2020667}, volume = {54}, year = {2009} }

TY - JOUR ID - EPortas09 L3 - citeulike-article-id:6095802 N2 - 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. IS - 7 JF - Automatic Control, IEEE Transactions on EP - 1732 TI - Multisensor Out of Sequence Data Fusion for Estimating the State of Discrete Control Systems VL - 54 SP - 1728 KW - 1451 KW - oosm AU - Besada-Portas, E AU - Lopez-Orozco, JA AU - Besada, JA AU - de la Cruz, JM PY - 2009/06/30/ UR - http://dx.doi.org/10.1109/TAC.2009.2020667 ER -