Publications

@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{Aoun2011e,

title = {An ellipsoidal set-membership parameter estimation of fractional orders systems},

author = {M. Aoun and M. Amairi and Z. Lassoued and S. Najar and M. N. Abdelkrim},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957881899\&doi=10.1109%2fSSD.2011.5767416\&partnerID=40\&md5=f4a561276b178fc18bfc9dea1dc69866},

doi = {10.1109/SSD.2011.5767416},

year  = {2011},

date = {2011-01-01},

journal = {International Multi-Conference on Systems, Signals and Devices, SSD'11 - Summary Proceedings},

abstract = {This paper presents a new ellipsoidal set-membership method for the identification of linear fractional orders systems. It use the Optimal Bounding Ellipsoid (OBE) algorithm. When the probability distribution of the disturbances is unknown but bounded and when the differentiation orders are known, the proposed method can estimate all the feasible parameters. A numerical example shows the effectiveness of the proposed method. © 2011 IEEE.},

note = {Cited by: 4},

keywords = {Algorithms, Fogel-Huang algorithm, Fractional differentiation, Fractional systems, Identification (control systems), Numerical methods, OBE, Parameter estimation, Probability distributions, Set-membership, system identification},

pubstate = {published},

tppubtype = {conference}

}