{"description":"This article explains cyclic reformulation-based system identification for LPTV systems. A subspace identification method with state coordinate transformation recovers periodic time-varying parameters without requiring periodic inputs. Based on IEEE Access 2025.","type":"rich","published":"2026-03-04 23:27:09","categories":["Research"],"author_url":"https://blog.hatena.ne.jp/control_eng_ch/","image_url":null,"blog_url":"https://blog.control-theory.com/","url":"https://blog.control-theory.com/entry/2026/03/04/232709","blog_title":"\u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog","provider_name":"Hatena Blog","author_name":"control_eng_ch","width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.control-theory.com%2Fentry%2F2026%2F03%2F04%2F232709\" title=\"Cyclic Reformulation-Based System Identification for Periodically Time-Varying Systems - \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_url":"https://hatena.blog","title":"Cyclic Reformulation-Based System Identification for Periodically Time-Varying Systems","version":"1.0","height":"190"}