Publications

@conference{Ethabet2019406b,

title = {Set-Membership Fault Detection for Continuous-time Switched Linear Systems},

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

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074402785\&doi=10.1109%2fASET.2019.8870992\&partnerID=40\&md5=d92dcb337b52e6a06fd5caf02b00c0c0},

doi = {10.1109/ASET.2019.8870992},

year  = {2019},

date = {2019-01-01},

journal = {Proceedings of International Conference on Advanced Systems and Emergent Technologies, IC_ASET 2019},

pages = {406 \textendash 411},

abstract = {The problem of Fault Detection (FD) for continuous-time switched linear systems subject to bounded disturbances is investigated in this paper. Based on cooperativity and stability properties, and fulfillment of an Average Dwell Time (ADT) constraint, guaranteed upper and lower bounds of the state are calculated using an interval observer. Under the assumption that disturbances and measurement noise are unknown but bounded with a priori known bounds, stability criteria is expressed in terms of Linear Matrix Inequalities (LMIs). Then, a fault detection methodology is developed to indicate the presence of faults. Finally, we demonstrate the proposed fault detection approach via an illustrative example. © 2019 IEEE.},

note = {Cited by: 7},

keywords = {Bounded disturbances, Continuous time systems, Continuous-time, Fault detection, Linear matrix inequalities, Linear systems, Set membership, Stability criteria, Stability properties, Switched linear system, Switched system, Unknown but bounded, Upper and lower bounds},

pubstate = {published},

tppubtype = {conference}

}

@conference{Hamdi2016634b,

title = {Orthotopic set-membership parameter estimation of fractional order model},

author = {Saif Eddine Hamdi and Messaoud Amairi and Mohamed Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84986192298\&doi=10.1109%2fMED.2016.7535873\&partnerID=40\&md5=067a264b24cef790e92783d5e4cfc584},

doi = {10.1109/MED.2016.7535873},

year  = {2016},

date = {2016-01-01},

journal = {24th Mediterranean Conference on Control and Automation, MED 2016},

pages = {634 \textendash 639},

abstract = {This paper presents a new orthotopic set-membership method for the identification of linear fractional orders systems. This method consists in recursively constructing an outer orthotope that contains all feasible parameters when the probability distribution of the disturbances is unknown but bounded and when the differentiation orders are known. A numerical example shows the effectiveness of the proposed method. © 2016 IEEE.},

note = {Cited by: 7},

keywords = {Fractional order, Fractional order models, Numerical methods, Orthotopic, Probability distributions, Set membership, Set membership method, Unknown but bounded},

pubstate = {published},

tppubtype = {conference}

}

@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}

}