{"provider_name":"Hatena Blog","image_url":"https://cdn.user.blog.st-hatena.com/default_entry_og_image/159332416/17737277208041","version":"1.0","author_name":"control_eng_ch","blog_title":"\u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog","width":"100%","url":"https://blog.control-theory.com/entry/polytope-system-identification","type":"rich","categories":["Eng: Control Engineering","Eng: Control Theory"],"published":"2026-05-15 18:26:29","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.control-theory.com%2Fentry%2Fpolytope-system-identification\" title=\"From Noise to Knowledge: System Identification with Systematic Polytope Construction via Cyclic Reformulation - \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","description":"A system identification framework that turns measurement noise into a structured uncertainty description. Cyclic reformulation with period N is applied to LTI systems to construct polytopes from a single experiment, then used for robust H\u221e control design with low conservatism. IEEE Access (2026), Open Access.","title":"From Noise to Knowledge: System Identification with Systematic Polytope Construction via Cyclic Reformulation","author_url":"https://blog.hatena.ne.jp/control_eng_ch/","height":"190","blog_url":"https://blog.control-theory.com/"}