Amplitude Spectrum Design for Multivariable System Identification in Open Loop


Sarker, Md. Tanjil and Tan, Ai Hui and Yap, Timothy Tzen Vun (2022) Amplitude Spectrum Design for Multivariable System Identification in Open Loop. In: 2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 25 June 2022, Shah Alam, Malaysia.

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In this paper, perturbation signal design for multi-input multi-output (MIMO) systems is presented for the output error (OE) and the autoregressive with exogenous inputs (ARX) model structures. The problem is handled via the investigation of multi-input single-output (MISO) systems, since a MIMO system can be formed as a combination of MISO systems. Comparison is performed between the flat, MOOSE2 and optexcit signal designs under three different signal-to-noise ratios (SNRs) in the open loop setting. The effectiveness of signal designs obtained for the single-input case and applied on MISO systems is analysed. The mean determinant of the covariance matrix of parameter estimates is utilised as a measure of estimation accuracy. Equations for MISO system are constructed and the amplitude spectrum design of perturbation signals is investigated based on the determinant of the covariance matrix for the ARX model structure.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Perturbation methods, Transfer functions, Estimation, MISO communication, Mathematical models, Covariance matrices, Intelligent systems
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 06:13
Last Modified: 01 Sep 2022 06:13


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