Publications

@article{Yousfi2017582b,

title = {Robust state estimation for singularly perturbed systems},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979965559\&doi=10.1080%2f00207179.2016.1186842\&partnerID=40\&md5=a6a887668d600359a3d705890d923cca},

doi = {10.1080/00207179.2016.1186842},

year  = {2017},

date = {2017-01-01},

journal = {International Journal of Control},

volume = {90},

number = {3},

pages = {582 \textendash 595},

abstract = {This paper deals with the design of interval observers for singularly perturbed linear systems. The full-order system is first decoupled into slow and fast subsystems. Then, using the cooperativity theory, an interval observer is designed for the slow and fast subsystems assuming that the measurement noise and the disturbances are bounded and the singular perturbed parameter is uncertain. This decoupling leads to two observers that estimate the lower and upper bounds for the feasible state domain. A numerical example shows the efficiency of the proposed technique. © 2016 Informa UK Limited, trading as Taylor \& Francis Group.},

note = {Cited by: 6},

keywords = {Cooperativity, Interval observers, Linear systems, Lower and upper bounds, Measurement Noise, Numerical methods, Perturbation techniques, Robust state estimation, Singularly perturbed, Singularly perturbed systems, uncertainties, Uncertainty analysis},

pubstate = {published},

tppubtype = {article}

}

@article{Yousfi2017216b,

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

author = {Basma Yousfi and Tarek Ra\"{i}ssi and Messaoud Amairi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006175186\&doi=10.1016%2fj.isatra.2016.09.025\&partnerID=40\&md5=0fb0b0d207af4e0d1a99ea02e82e994f},

doi = {10.1016/j.isatra.2016.09.025},

year  = {2017},

date = {2017-01-01},

journal = {ISA Transactions},

volume = {66},

pages = {216 \textendash 225},

abstract = {This paper addresses model-based prognosis to predict Remaining Useful Life (RUL) of a class of dynamical systems. The methodology is based on singular perturbed techniques to take into account the slow behavior of degradations. The full-order system is firstly decoupled into slow and fast subsystems. An interval observer is designed for both subsystems under the assumption that the measurement noise and the disturbances are bounded. Then, the degradation is modeled as a polynomial whose parameters are estimated using ellipsoid algorithms. Finally, the RUL is predicted based on an interval evaluation of the degradation model over a time horizon. A numerical example illustrates the proposed technique. © 2016 ISA},

note = {Cited by: 19},

keywords = {algorithm, article, Damage, Dynamical systems, human, Interval observers, noise, Numerical methods, Perturbation techniques, Prognosis, Remaining useful lives, Singularly perturbed systems},

pubstate = {published},

tppubtype = {article}

}