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dc.contributor.authorChaib-Draa, K.
dc.contributor.authorZemouche, A.
dc.contributor.authorRajamani, R.
dc.contributor.authorBedouhene, F.
dc.contributor.authorLaleg-Kirati, Taous-Meriem
dc.date.accessioned2020-03-17T12:38:13Z
dc.date.available2020-03-17T12:38:13Z
dc.date.issued2019
dc.identifier.citationChaib-Draa, K., Zemouche, A., Rajamani, R., Bedouhene, F., & Laleg-Kirati, T. M. (2019). Finite-Time State Estimation of Discrete-Time Linear Systems With Some Extensions. Application to Steering Lateral Vehicle Model. 2019 IEEE 58th Conference on Decision and Control (CDC). doi:10.1109/cdc40024.2019.9029362
dc.identifier.doi10.1109/CDC40024.2019.9029362
dc.identifier.urihttp://hdl.handle.net/10754/662169
dc.description.abstractThis paper presents novel exact finite-time estimation algorithms for linear discrete-time systems with extension to singular systems, under specific rank conditions. The proposed estimation algorithms are more general than the well-known deadbeat observers, which can provide finitetime estimation. Two new estimation schemes are proposed; the first scheme provides a direct and explicit estimation algorithm based on the use of delayed outputs, while the second scheme uses two combined asymptotic observers to recover in a finitetime the exact solution of the system. The effectiveness of the developed estimators is shown through application to a steering controlled lateral vehicle system where all states are estimated from look-ahead distance measurement.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9029362/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9029362/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9029362
dc.rightsArchived with thanks to IEEE
dc.titleFinite-Time State Estimation of Discrete-Time Linear Systems With Some Extensions. Application to Steering Lateral Vehicle Model
dc.typeConference Paper
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentEstimation, Modeling and ANalysis Group
dc.conference.date11-13 Dec. 2019
dc.conference.name2019 IEEE 58th Conference on Decision and Control (CDC)
dc.conference.locationNice, France
dc.eprint.versionPost-print
dc.contributor.institutionUniversity of Luxembourg,Belval,Luxembourg
dc.contributor.institutionUniversité de Lorraine, CRAN CNRS UMR,France
dc.contributor.institutionUniversity of Minnesota,Laboratory for Innovations in Sensing, Estimation, and Control, Department of Mechanical Engineering,Minneapolis,USA
dc.contributor.institutionUniversité Mouloud Mammeri de Tizi-Ouzou,Laboratoire de Mathématiques Pures et Appliquées,Algeria
kaust.personLaleg-Kirati, Taous-Meriem
refterms.dateFOA2020-03-17T12:46:07Z


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