Publications

@conference{Mohamed201579,

title = {LS/IV parametric identification for continuous and delay chemical reactor},

author = {S. B. Mohamed and B. Boussaid and N. Abdelkrim and C. Tahri},

editor = {Chaabane M. Aitouch A. Mehdi D.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962518106\&doi=10.1109%2fICoSC.2015.7152784\&partnerID=40\&md5=98cf9d2ee9483c6a37380c11ddcbb124},

doi = {10.1109/ICoSC.2015.7152784},

isbn = {9781479983186},

year  = {2015},

date = {2015-01-01},

journal = {2015 4th International Conference on Systems and Control, ICSC 2015},

pages = {79-84},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Because of the dependence of the parameters in the chemical reactor industries to the raw material used in processes, an online identification of the process parameters is necessary to adjust the process control loops. This paper deals with continuous time and delay system identification of the chemical reactor. The identification of linear and single inputsingle output (SISO) system is based on the least square (LS) method, in which the output is corrupted by a non Gaussian white noise sequence. The least square method is perhaps the most commonly used parametric identification method, but it is biased even for a white measurement noise. To remove this bias we use the instrumental variable (IV) method. Results obtained indicate that the proposed algorithm provides more accurate estimated parameters. © 2015 IEEE.},

note = {cited By 1},

keywords = {Chemical reactors; Continuous time systems; Gaussian noise (electronic); Identification (control systems); Least squares approximations; Process control; White noise, Instrumental variable methods; Instrumental variables; Least Square; Least square methods; On-line identification; Parametric identification; Process control loop; Sampled data, Parameter estimation},

pubstate = {published},

tppubtype = {conference}

}