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U-Model based online identification of Air Flow Plant

Hasan, E. and Bin Ibrahim, R. and Ali, S.S.A. and Miya, H.S. and Gilani, S.F. (2017) U-Model based online identification of Air Flow Plant. 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 .

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

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. © 2016 IEEE.

Item Type:Article
Impact Factor:cited By 0
Departments / MOR / COE:Division > Academic > Faculty of Engineering > Electrical & Electronic Engineering
ID Code:20141
Deposited By: Ahmad Suhairi
Deposited On:22 Apr 2018 14:43
Last Modified:22 Apr 2018 14:43

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