Publications

@conference{Aoun2012,

title = {Continuous fractional Kalman filter},

author = {M. Aoun and S. Najar and M. Abdelhamid and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861605131\&doi=10.1109%2fSSD.2012.6198068\&partnerID=40\&md5=3b5a3d80fe7b60e0ca04ee80eddf2959},

doi = {10.1109/SSD.2012.6198068},

isbn = {9781467315906},

year  = {2012},

date = {2012-01-01},

journal = {International Multi-Conference on Systems, Signals and Devices, SSD 2012 - Summary Proceedings},

abstract = {This paper develops a new Kalman filter for linear systems described with continuous time fractional model. It extends the classical Kalman filter to deals with fractional differentiation. It is called continuous fractional Kalman Filter. The algorithm of the new filter is detailed and a suboptimal filter can be deduced. A numerical example illustrates the state estimation of a fractional model with the new filter. © 2012 IEEE.},

note = {cited By 4},

keywords = {Continuous time; Fractional differentiation; Fractional model; Numerical example; Suboptimal filter, Kalman filters, Linear systems; State estimation},

pubstate = {published},

tppubtype = {conference}

}