{"categories":["Eng: Control Engineering","Eng: Control Theory"],"type":"rich","description":"A tutorial on classical parametric system identification. Explains ARX, ARMAX, Output-Error, and Box-Jenkins model structures, the prediction error method (PEM) for parameter estimation, model order selection, and MATLAB implementation. Includes comparison with subspace identification.","width":"100%","version":"1.0","provider_url":"https://hatena.blog","blog_url":"https://blog.control-theory.com/","blog_title":"\u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog","height":"190","url":"https://blog.control-theory.com/entry/parametric-identification","author_url":"https://blog.hatena.ne.jp/control_eng_ch/","author_name":"control_eng_ch","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.control-theory.com%2Fentry%2Fparametric-identification\" title=\"Classical Parametric System Identification: ARX, ARMAX, and the Prediction Error Method - \u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_name":"Hatena Blog","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/control_eng_ch/20260316/20260316105017.jpg","published":"2026-03-09 18:17:03","title":"Classical Parametric System Identification: ARX, ARMAX, and the Prediction Error Method"}