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Closed-loop Identification of Systems with Uncertain Time Delays using ARX-OBF Structures

Lemma, D Tufa and Ramasamy, M (2011) Closed-loop Identification of Systems with Uncertain Time Delays using ARX-OBF Structures. [Citation Index Journal]

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Abstract

Closed-loop identification of systems with known time delays can be effectively carried out with simple model structures like Autoregressive with Exogenous Input (ARX) and Autoregressive Moving Average with Exogenous Input (ARMAX). However, when the system contains large uncertain time delay, such structures may lead to inaccurate models with significant bias if the time delay estimate used in the identification is less accurate. On the other hand, conventional orthonormal basis filter (OBF) model structures are very effective in capturing the dynamics of systems with uncertain time delays. However, they are not effective for closed-loop identification. In this paper, an ARX–OBF model structure which is obtained by modifying the ARX structure is shown to be effective in handling closed-loop identification of systems with uncertain time delays. In addition, the paper shows that this advantage of ARX–OBF models over simple ARX model is considerable in multi-step ahead predictions.

Item Type:Citation Index Journal
Impact Factor:1.696
Uncontrolled Keywords:Closed loop identification Time delay Orthonormal basis filter ARX ARX–OBF
Subjects:T Technology > TP Chemical technology
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:8083
Deposited By: Assoc Prof Dr Marappagounder Ramasamy
Deposited On:12 Sep 2012 01:13
Last Modified:19 Jan 2017 08:23

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