Jump state estimation with multiple sensors with packet dropping and delaying channels
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Otros documentos de la autoría: Dolz Algaba, Daniel; Peñarrocha-Alós, Ignacio; Sanchis LLopis, Roberto
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Título
Jump state estimation with multiple sensors with packet dropping and delaying channelsFecha de publicación
2014-04xmlui.dri2xhtml.METS-1.0.item-edition
PostprintEditor
Taylor & Francis:Cita bibliográfica
DOLZ, Daniel; PEÑARROCHA, Ignacio; SANCHIS, Roberto. Jump state estimation with multiple sensors with packet dropping and delaying channels. International Journal of Systems Science, 2014, no ahead-of-print, p. 1-12.Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.tandfonline.com/doi/full/10.1080/00207721.2014.907944Palabras clave / Materias
Resumen
This work addresses the design of a state observer for systems whose outputs are measured through a communication network. The measurements from each sensor node are assumed to arrive randomly, scarcely and with a ... [+]
This work addresses the design of a state observer for systems whose outputs are measured through a communication network. The measurements from each sensor node are assumed to arrive randomly, scarcely and with a time-varying delay. The proposed model of the plant and the network measurement scenarios cover the cases of multiple sensors, out-of-sequence measurements, buffered measurements on a single packet and multirate sensor measurements. A jump observer is proposed that selects a different gain depending on the number of periods elapsed between successfully received measurements and on the available data. A finite set of gains is pre-calculated offline with a tractable optimisation problem, where the complexity of the observer implementation is a design parameter. The computational cost of the observer implementation is much lower than in the Kalman filter, whilst the performance is similar. Several examples illustrate the observer design for different measurement scenarios and observer complexity and show the achievable performance. [-]
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International Journal of Systems Science Volume 47, Issue 4, 2016Derechos de acceso
info:eu-repo/semantics/openAccess
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