Publications

@conference{Yakoub201710431,

title = {Model-based fractional order controller design},

author = {Z. Yakoub and M. Chetoui and M. Amairi and M. Aoun},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031827269\&doi=10.1016%2fj.ifacol.2017.08.1971\&partnerID=40\&md5=c84f02810425251e2e6444d4c36ec8dd},

doi = {10.1016/j.ifacol.2017.08.1971},

issn = {24058963},

year  = {2017},

date = {2017-01-01},

journal = {IFAC-PapersOnLine},

volume = {50},

number = {1},

pages = {10431-10436},

publisher = {Elsevier B.V.},

abstract = {This paper deals with model-based fractional order controller design. The objective is identification for controller design in order to achieve the desired closed-loop performances. Firstly, the fractional order closed-loop bias-eliminated least squares method is used to identify the process model. Then, based on the numerical optimization of a frequency-domain criterion, the fractional controller is designed. If the proposed algorithm detects any changes in the process parameters, the controller is updated to keep the same performances. A numerical example is presented to show the efficiency of the proposed scheme. © 2017},

note = {cited By 3},

keywords = {Bias elimination; Closed loops; Fractional differentiation; Identification for control; Recursive least square (RLS), Controllers; Frequency domain analysis; Least squares approximations; Optimization, Process control},

pubstate = {published},

tppubtype = {conference}

}