{"author_name":"control_eng_ch","title":"Kalman Filter: From Basic Algorithm to Multi-Rate Extensions","categories":["Eng: Control Engineering","Eng: Control Theory"],"provider_url":"https://hatena.blog","blog_url":"https://blog.control-theory.com/","published":"2026-03-07 14:32:26","url":"https://blog.control-theory.com/entry/kalman-filter","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/c/control_eng_ch/20260308/20260308225348.jpg","version":"1.0","provider_name":"Hatena Blog","type":"rich","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.control-theory.com%2Fentry%2Fkalman-filter\" title=\"Kalman Filter: From Basic Algorithm to Multi-Rate Extensions - \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>","description":"A comprehensive guide to the Kalman filter for state estimation. Covers the prediction-update algorithm, steady-state Kalman filter, Kalman-Bucy filter, tuning of Q and R, Extended and Unscented Kalman filters, and multi-rate Kalman filter design using LMI optimization. Includes MATLAB code links.","width":"100%","author_url":"https://blog.hatena.ne.jp/control_eng_ch/","blog_title":"\u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog","height":"190"}