نویسندگان | زهره حیاتی,محسن شفیعی راد,ایمان زمانی,امیرحسین امیری مهرا,زهره عباسی |
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نشریه | Control and Cybernetics |
شماره صفحات | 1 |
شماره مجلد | 50 |
نوع مقاله | Full Paper |
تاریخ انتشار | 2021 |
رتبه نشریه | علمی - پژوهشی |
نوع نشریه | الکترونیکی |
کشور محل چاپ | ایران |
نمایه نشریه | SCOPUS |
چکیده مقاله
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