{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:23:43Z","timestamp":1760243023804,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2015,6,2]],"date-time":"2015-06-02T00:00:00Z","timestamp":1433203200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>For equation-error autoregressive (EEAR) systems, this paper proposes an identification algorithm by means of the model equivalence transformation. The basic idea is to eliminate the autoregressive term in the model using the model transformation, to estimate the parameters of the converted system and further to compute the parameter estimates of the original system using the comparative coefficient way and the model equivalence principle. For comparison, the recursive generalized least squares algorithm is given simply. The simulation results verify that the proposed algorithm is effective and can produce more accurate parameter estimates.<\/jats:p>","DOI":"10.3390\/a8020280","type":"journal-article","created":{"date-parts":[[2015,6,2]],"date-time":"2015-06-02T11:38:36Z","timestamp":1433245116000},"page":"280-291","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Model Equivalence-Based Identification Algorithm for Equation-Error Systems with Colored Noise"],"prefix":"10.3390","volume":"8","author":[{"given":"Dandan","family":"Meng","sequence":"first","affiliation":[{"name":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China"}]},{"given":"Feng","family":"Ding","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, China"}]}],"member":"1968","published-online":{"date-parts":[[2015,6,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.sigpro.2014.08.045","article-title":"Nonlinear system identification using IIR Spline Adaptive Filtering","volume":"108","author":"Scarpiniti","year":"2015","journal-title":"Signal Process."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.automatica.2011.09.045","article-title":"Robust H-infty filtering for nonlinear stochastic systems with uncertainties and random delays modeled by Markov chains","volume":"48","author":"Li","year":"2012","journal-title":"Automatica"},{"key":"ref_3","first-page":"3204","article-title":"Online parameter identification of ultracapacitor models using the extended kalman filter","volume":"7","author":"Zhang","year":"2014","journal-title":"Algorithms"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.automatica.2015.01.036","article-title":"Distributed state estimation for linear multi-agent systems with time-varying measurement topology","volume":"54","author":"Viegas","year":"2015","journal-title":"Automatica"},{"key":"ref_5","first-page":"611","article-title":"Genetic adaptive state estimation with missing input\/output data","volume":"224","author":"Fang","year":"2010","journal-title":"Proc. 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