{"categories":["Research"],"provider_name":"Hatena Blog","image_url":null,"provider_url":"https://hatena.blog","type":"rich","title":"System Identification Under Multirate Sensing Environments","author_url":"https://blog.hatena.ne.jp/control_eng_ch/","blog_title":"\u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.control-theory.com%2Fentry%2F2026%2F03%2F04%2F233302\" title=\"System Identification Under Multirate Sensing Environments - \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>","blog_url":"https://blog.control-theory.com/","url":"https://blog.control-theory.com/entry/2026/03/04/233302","description":"System identification algorithm for multirate sensing environments using cyclic reformulation and subspace identification. Proposes a method to identify plant models from input-output data when sensors have different sampling rates, without requiring periodic input signals. Based on the paper by H. Okajima, R. Furukawa, and N. Matsunaga, Journal of Robotics and Mechatronics (2025). Includes MATLAB code links and related resources.","published":"2026-03-04 23:33:02","author_name":"control_eng_ch","height":"190","width":"100%","version":"1.0"}