Performance Evaluation of Iterative Signal Design for System Identification


Sarker, Md. Tanjil and Tan, Ai Hui and Yap, Timothy Tzen Vun (2022) Performance Evaluation of Iterative Signal Design for System Identification. In: 2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 25 June 2022, Shah Alam, Malaysia.

[img] Text
1.pdf - Published Version
Restricted to Repository staff only

Download (1MB)


In this paper, iterative system identification is investigated where the amplitude spectra of the perturbation signals are optimised according to the present estimate of the model parameters. The iterative signal design is compared for single-input single-output (SISO) open loop systems grouped into six different categories based on the system order and dynamic characteristic. Three different signal-to-noise ratios (SNRs) are tested. The performance of the iterative signal design is assessed by taking the ratios of the performance measures of the estimated and initial models to the actual model for a single iteration. These performance measures are defined based on errors in the frequency response. It was found that the iterative signal design is very effective in reducing the model error, except for high order lowpass systems.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Performance evaluation, Perturbation methods, Measurement uncertainty, Open loop systems, SISO communication, System identification, Iterative methods
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Computing and Informatics (FCI)
Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 01 Sep 2022 03:50
Last Modified: 01 Sep 2022 03:51


Downloads per month over past year

View ItemEdit (login required)