U-Model based online identification of Air Flow Plant

E. Hasan; Rosdiazli Bin Ibrahim; Syed Saad Azhar Ali; Hassan Sabo Miya; Syed Faizan Gilani

doi:10.1109/ROMA.2016.7847809

U-Model based online identification of Air Flow Plant

E. Hasan
, Rosdiazli Bin Ibrahim
, Syed Saad Azhar Ali
, Hassan Sabo Miya
, Syed Faizan Gilani

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

A key and critical challenge in Industrial processes is real-time system identification. This has prompted a lot of research efforts towards the development of model based adaptive identification methods. Their key advantage is that system parameters are tuned adaptively and online. This paper proposes online identification of Air Flow Plant using adaptive U-Model. The recently developed model is based on a polynomial structure. It adaptively corresponds to uncertain system parameters to adjust them online. U-Model method has shown promising results in terms of system identification. The proposed method is verified by simulation. Being control oriented in nature, an effective control strategy based upon U-Model can easily be developed.

Original language	English
Title of host publication	2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509009282
DOIs	https://doi.org/10.1109/ROMA.2016.7847809
State	Published - 8 Feb 2017
Externally published	Yes
Event	2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 - Ipoh, Malaysia Duration: 25 Sep 2016 → 27 Sep 2016

Publication series

Name	2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016

Conference

Conference	2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016
Country/Territory	Malaysia
City	Ipoh
Period	25/09/16 → 27/09/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Adaptive
Industrial Process Control
System Identification
U-Model

ASJC Scopus subject areas

Mechanical Engineering
Control and Systems Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/ROMA.2016.7847809

Cite this

Hasan, E., Bin Ibrahim, R., Ali, S. S. A., Miya, H. S., & Gilani, S. F. (2017). U-Model based online identification of Air Flow Plant. In 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 Article 7847809 (2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ROMA.2016.7847809

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abstract = "A key and critical challenge in Industrial processes is real-time system identification. This has prompted a lot of research efforts towards the development of model based adaptive identification methods. Their key advantage is that system parameters are tuned adaptively and online. This paper proposes online identification of Air Flow Plant using adaptive U-Model. The recently developed model is based on a polynomial structure. It adaptively corresponds to uncertain system parameters to adjust them online. U-Model method has shown promising results in terms of system identification. The proposed method is verified by simulation. Being control oriented in nature, an effective control strategy based upon U-Model can easily be developed.",

keywords = "Adaptive, Industrial Process Control, System Identification, U-Model",

author = "E. Hasan and \{Bin Ibrahim\}, Rosdiazli and Ali, \{Syed Saad Azhar\} and Miya, \{Hassan Sabo\} and Gilani, \{Syed Faizan\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 ; Conference date: 25-09-2016 Through 27-09-2016",

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doi = "10.1109/ROMA.2016.7847809",

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Hasan, E, Bin Ibrahim, R, Ali, SSA, Miya, HS & Gilani, SF 2017, U-Model based online identification of Air Flow Plant. in 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016., 7847809, 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016, Ipoh, Malaysia, 25/09/16. https://doi.org/10.1109/ROMA.2016.7847809

U-Model based online identification of Air Flow Plant. / Hasan, E.; Bin Ibrahim, Rosdiazli; Ali, Syed Saad Azhar et al.
2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7847809 (2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - A key and critical challenge in Industrial processes is real-time system identification. This has prompted a lot of research efforts towards the development of model based adaptive identification methods. Their key advantage is that system parameters are tuned adaptively and online. This paper proposes online identification of Air Flow Plant using adaptive U-Model. The recently developed model is based on a polynomial structure. It adaptively corresponds to uncertain system parameters to adjust them online. U-Model method has shown promising results in terms of system identification. The proposed method is verified by simulation. Being control oriented in nature, an effective control strategy based upon U-Model can easily be developed.

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KW - Industrial Process Control

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M3 - Conference contribution

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BT - 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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Hasan E, Bin Ibrahim R, Ali SSA, Miya HS, Gilani SF. U-Model based online identification of Air Flow Plant. In 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7847809. (2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016). doi: 10.1109/ROMA.2016.7847809

U-Model based online identification of Air Flow Plant

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this