A Novel Intelligent ARX-Laguerre Distillation Column Estimation Technique

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Farzin Piltan 1 Shahnaz TayebiHaghighi 2 Somayeh Jowkar 2,3 Hossein Rashidi Bod 2 Amirzubir Sahamijoo 2 Jeong-Seok Heo 1,*

1. School of IT Convergence, University of Ulsan, Ulsan, South Korea

2. Control and Robotic Lab, IRAN SSP Research and Development Center, Shiraz, Iran

3. Department of Information Technology, Faculty of Computer Engineering, Ateneo De Manila University, Manila, Philippines

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2019.04.05

Received: 10 Sep. 2018 / Revised: 28 Dec. 2018 / Accepted: 5 Jan. 2019 / Published: 8 Apr. 2019

Index Terms

Distillation column, system identification, ARX modeling, intelligent nonlinear-ARX-Laguerre, ARX-Laguerre modeling


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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