%X 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.
%K Air; Identification (control systems); Interactive computer systems; Manufacture; Process control; Real time systems; Religious buildings; Robotics; Uncertainty analysis, Adaptive; Adaptive identification; Critical challenges; Industrial process control; On-line identification; Polynomial structure; U-model; Uncertain system parameters, Adaptive control systems
%R 10.1109/ROMA.2016.7847809
%D 2017
%J 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016
%L scholars8860
%O cited By 4; Conference of 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016 ; Conference Date: 25 September 2016 Through 27 September 2016; Conference Code:126431
%A E. Hasan
%A R. Bin Ibrahim
%A S.S.A. Ali
%A H.S. Miya
%A S.F. Gilani
%I Institute of Electrical and Electronics Engineers Inc.
%T U-Model based online identification of Air Flow Plant