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Event based estimation with correlated noises
Published in Elsevier Ltd
2019
Volume: 356
   
Issue: 13
Pages: 7533 - 7547
Abstract
For a linear system having event based measurements and correlated noises, a state estimation algorithm is proposed. A general event based sampling is employed to obtain the measurements, where in the case of unavailability of measurements, event based strategy itself is used to obtain approximate state and covariance estimates. To deal with correlated noises, a two-step ahead prediction approach is employed to obtain recursive equations for estimated state and covariance. The obtained results are illustrated using a simulation example. © 2019
About the journal
JournalData powered by TypesetJournal of the Franklin Institute
PublisherData powered by TypesetElsevier Ltd
ISSN00160032