{"blog_title":"\u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog","width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.control-theory.com%2Fentry%2Fsystem-identification\" title=\"System Identification: From Data to Dynamical Models \u2014 A Comprehensive Guide - \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>","version":"1.0","author_url":"https://blog.hatena.ne.jp/control_eng_ch/","author_name":"control_eng_ch","provider_name":"Hatena Blog","published":"2026-03-09 16:56:42","categories":["Eng: Control Engineering","Eng: Control Theory"],"type":"rich","title":"System Identification: From Data to Dynamical Models \u2014 A Comprehensive Guide","description":"A comprehensive guide to system identification in control engineering. Covers parametric methods, subspace identification (N4SID), kernel-based estimation, multirate systems, and data-driven control. With MATLAB code and links to research papers.","provider_url":"https://hatena.blog","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/control_eng_ch/20260311/20260311110337.jpg","blog_url":"https://blog.control-theory.com/","height":"190","url":"https://blog.control-theory.com/entry/system-identification"}