Publications

@conference{Yousfi2015302b,

title = {Set-membership methodology for model-based systems prognosis},

author = {B. Yousfi and T. Ra\"{i}ssi and M. Amairi and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992504087\&doi=10.1016%2fj.ifacol.2015.09.544\&partnerID=40\&md5=7e3ccad3284ae336ba3fa70c7e9a83fd},

doi = {10.1016/j.ifacol.2015.09.544},

year  = {2015},

date = {2015-01-01},

journal = {IFAC-PapersOnLine},

volume = {28},

number = {21},

pages = {302 \textendash 307},

abstract = {This paper addresses unknown input interval estimation and prognosis for a class of uncertain systems. Under the assumption that the measurement noise and the disturbances are bounded, lower and upper bounds for the unmeasured state and unknown inputs are computed. Then, damage state estimation is formulated as a set-inversion problem. The setmembership methodology is applied to an electromechanical oscillator to show the effectiveness of the proposed technique. © 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.},

note = {Cited by: 3; All Open Access, Bronze Open Access},

keywords = {Fault detection, Interval estimation, Interval observers, Lower and upper bounds, Measurement Noise, Model-based systems, nocv1, Plant management, Set membership, Unknown input observer, Unknown inputs},

pubstate = {published},

tppubtype = {conference}

}