International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.11, No.4, Apr. 2019
A Novel Intelligent ARX-Laguerre Distillation Column Estimation Technique
Full Text (PDF, 827KB), PP.52-60
In practical applications, modeling of real systems with unknown parameters such as distillation columns are typically complex. To address issues with distillation column estimation, the system is identified by a proposed intelligent, auto-regressive, exogenous-Laguerre (AI-ARX-Laguerre) technique. In this method, an intelligent technique is introduced for data-driven identiﬁcation of the distillation column. The Laguerre method is used for the removal of input/output noise and decreases the system complexity. The fuzzy logic method is proposed to reduce the system’s estimation error and to accurately optimize the ARX-Laguerre parameters. The proposed method outperforms the ARX and ARX-Laguerre technique by achieving average estimation accuracy improvements of 16% and 9%, respectively.
Cite This Paper
Farzin Piltan, Shahnaz TayebiHaghighi, Somayeh Jowkar, Hossein Rashidi Bod, Amirzubir Sahamijoo, Jeong-Seok Heo, "A Novel Intelligent ARX-Laguerre Distillation Column Estimation Technique", International Journal of Intelligent Systems and Applications(IJISA), Vol.11, No.4, pp.52-60, 2019. DOI: 10.5815/ijisa.2019.04.05
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