Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/4665
Title: A novel online adaptive time delay identification technique
Authors: Bayrak, Alper
Tatlıcıoğlu, Enver
Keywords: Adaptive identification
Signal processing
Time delay
Telecommunication networks
Issue Date: May-2016
Publisher: Taylor and Francis Ltd.
Source: Bayrak, A., and Tatlıcıoğlu, E. (2016). A novel online adaptive time delay identification technique. International Journal of Systems Science, 47(7), 1574-1585, doi:10.1080/00207721.2014.941958
Abstract: Time delay is a phenomenon which is common in signal processing, communication, control applications, etc. The special feature of time delay that makes it attractive is that it is a commonly faced problem in many systems. A literature search on time-delay identification highlights the fact that most studies focused on numerical solutions. In this study, a novel online adaptive time-delay identification technique is proposed. This technique is based on an adaptive update law through a minimum-maximum strategy which is firstly applied to time-delay identification. In the design of the adaptive identification law, Lyapunov-based stability analysis techniques are utilised. Several numerical simulations were conducted with Matlab/Simulink to evaluate the performance of the proposed technique. It is numerically demonstrated that the proposed technique works efficiently in identifying both constant and disturbed time delays, and is also robust to measurement noise.
URI: http://dx.doi.org/10.1080/00207721.2014.941958
http://hdl.handle.net/11147/4665
ISSN: 1464-5319
1464-5319
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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