{"url":"https://blog.control-theory.com/entry/2026/03/04/152947","image_url":null,"author_url":"https://blog.hatena.ne.jp/control_eng_ch/","width":"100%","blog_url":"https://blog.control-theory.com/","author_name":"control_eng_ch","categories":["Research"],"title":"A Design Method of Model Error Compensator for Systems with Polytopic-Type Uncertainty and Disturbances","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.control-theory.com%2Fentry%2F2026%2F03%2F04%2F152947\" title=\"A Design Method of Model Error Compensator for Systems with Polytopic-Type Uncertainty and Disturbances - \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","published":"2026-03-04 15:29:47","blog_title":"\u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog","description":"This article explains a design method for the Model Error Compensator (MEC) for systems with polytopic-type uncertainty and disturbances, based on SICE JCMSI 2021. LMI-based H-infinity analysis combined with particle swarm optimization enables flexible compensator design for MIMO systems. MATLAB code available.","type":"rich","version":"1.0","provider_url":"https://hatena.blog","height":"190"}