Authors | زهره حیاتی,محسن شفیعی راد,ایمان زمانی,امیرحسین امیری مهرا,زهره عباسی |
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Journal | Control and Cybernetics |
Page number | 1 |
Volume number | 50 |
Paper Type | Full Paper |
Published At | 2021 |
Journal Grade | Scientific - research |
Journal Type | Electronic |
Journal Country | Iran, Islamic Republic Of |
Journal Index | SCOPUS |
Abstract
Abstract: This paper presents an iterative method for the unbiased identification of linear Multiple-Input Multiple-Output (MIMO) discrete two-dimensional (2D) systems. The system discussed here has Auto-Regressive Moving-Average model with exogenous inputs (ARMAX model). The proposed algorithm functions on the basis of the traditional Iterative Generalized Least Squares (IGLS) method. In summary, this paper proposes a two-dimensional Multiple-Input Multiple-Output Iterative Generalized Least Squares (2DMIGLS) algorithm to estimate the unknown parameters of the ARMAX model. Finally, simulation results show the efficiency and accuracy of the presented algorithm in estimating the unknown parameters of the model in the presence of colored noise.
tags: ARMAX model, discrete 2D systems, iterative identification, MIMO systems, parameter estimation