Aviso: Por labores de mantenimiento y mejora del repositorio, el martes día 1 de Julio, Docta Complutense no estará operativo entre las 9 y las 14 horas. Disculpen las molestias.
 

Multisensor out-of-sequence data fusion for estimating the state of dynamic systems

dc.book.title2007 Information decision and control
dc.contributor.authorBesada Portas, Eva
dc.contributor.authorLópez Orozco, José Antonio
dc.contributor.authorCruz García, Jesús Manuel de la
dc.date.accessioned2023-06-20T13:39:33Z
dc.date.available2023-06-20T13:39:33Z
dc.date.issued2007
dc.description© 2007 IEEE. Conference on Information Decision and Control (2007. Adelaide, Australia)
dc.description.abstractPhysically distributed sensors, communication networks, preprocessing algorithms and other reasons can delay or disorder the arrival of the information, provided by a set of sensors, to the fusion centre which is in charge of estimating the state of a system. In real-time control systems, the out-of-sequence data cannot delay the process of estimating the state of the system with the already received data and so the algorithms of the fusion centre need to handle this type of data properly. In this paper we present two new algorithms for solving the out-of-sequence data problem for the case of linear and nonlinear dynamic control systems and compare them with other algorithms which exist in the literature. The algorithm for the linear case is equivalent to others but more general, while the nonlinear one is a new solution of the problem.
dc.description.departmentSección Deptal. de Arquitectura de Computadores y Automática (Físicas)
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/21846
dc.identifier.isbn978-1-4244-0901-3
dc.identifier.officialurlhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4252527
dc.identifier.relatedurlhttp://ieeexplore.ieee.org/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/53255
dc.language.isoeng
dc.page.final276
dc.page.initial271
dc.publisherIEEE
dc.rights.accessRightsopen access
dc.subject.cdu004
dc.subject.keywordEngineering
dc.subject.keywordElectrical & Electronic
dc.subject.keywordRemote Sensing
dc.subject.ucmInformática (Informática)
dc.subject.unesco1203.17 Informática
dc.titleMultisensor out-of-sequence data fusion for estimating the state of dynamic systems
dc.typebook part
dcterms.references[1] Y. Bar-Shalom, “Update with out of Sequence Measurements in Tracking: Exact Solution”, IEEE Transactions on Aerospace and Electronic Systems, vol. 38, no. 3, pp 769-778. Feb. 2002. [2] B. Sinopoli et. al, “Kalman Filtering with Intermittent Observations”, IEEE Transactions on Automatic Control, vol. 49, no. 9, pp 1453-1464. Sep. 2004. [3] J.A. Lopez-Orozco, J.M. de la Cruz, E. Besada, P. Rupiezed, “An Asynchronous Robust and Distributed Multisensor Fusion System for Mobile Robot”, The International Journal of Robotics Research, vol. 19, nº 10, pp 914-932. Oct. 2000. [4] M. Mallick, S. Coraluppi, C. Carthel, “Advances in Asynchronous and Decentralized Estimation”, in Proc. of IEEE Aerospace Conference. pp 1873-1888, Mar. 2001. [5] E.W. Nettleton, H. Durrant-Whyte, “Delayed and Asequent Data in Decentralized Sensing Networks”, in Proc. of SPIE Conf #4571. pp 1-9, 2001. [6] Y. Bar-Shalom, M. Mallick, H. Chen, R. Washburn, “One Step Solution for the General Out of Sequence Measurement Problem in Tracking”, in Proc. of the IEEE Aerospace Conference. pp 1-9. 2002. [7] S. Challa, R. Evans, X. Wang. “A Bayesian Solution and its Approximation to Out-of-Sequence Measurement Problems”, Information Fusion 4. pp 185- 199. Elservier, 2003. [8] K. Zhang, X. Li, Y. Chen, “Optimal Update with Out of Sequence Measurements for Distributed Filtering”, in Proc. of 5th International Conference of Information Fusión(ISIF2002). pp 1519- 1526. 2002. [9] K. Zhang, X. Li, Y. Chen, “Multi-sensor Multi-Tracking with Out-of-Sequence Measurements” in Proc. of ISIF 2003. pp. 672-679. 2003. [10] M. Orton, A. Marrs, “A Bayesian Approach to Multitarget Tracking and Data Fusion with Out-of-Sequence Measuerements”, in Proc. of IEE International Workshop on Target Tracking Algorithms and Applications, pp v1-v15. 2001. [11] P. Mookerjee, F. Reifler, “Application of Reduced State Estimation to Multisensor Fusion with Out-Of-Sequence Measurements”, in Proc. of IEEE Radar Conference. pp 111-116. 2004. [12] E. Besada-Portas, “Fusion Multisensorial de Medidas Temporalmente Desordenadas. Aplicación a Robots Autónomos Mobiles”, phD Dissertation, Universidad Complutense de Madrid, 2004. [13]S.L. Lauritzen, “Propagation of Probabilities, Means and Variances in Mixed Graphical Models”, Journal of the American Statistical Association. pp 1098-1108. 1992. [14] K.P. Murphy, “Filtering, Smoothing and the Junction Tree Algorithm”, Technical Report, Universidad de California at Berkeley, Department of CS, 1998. [15]E. Besada-Portas, J.A. Lopez-Orozco, J.M de la Cruz, “Unified Fusion System Based on BN for Autonomous Mobile Robots”, in Proc. of 5th International Conference of Information Fusion. 873-880. 2002
dspace.entity.typePublication
relation.isAuthorOfPublication0acc96fe-6132-45c5-ad71-299c9dcb6682
relation.isAuthorOfPublication26b95994-f79c-4d7c-8de5-a003d6d2a770
relation.isAuthorOfPublication.latestForDiscovery0acc96fe-6132-45c5-ad71-299c9dcb6682

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
besadaportas08.pdf
Size:
247.85 KB
Format:
Adobe Portable Document Format