{"version":"1.0","author_url":"https://blog.hatena.ne.jp/control_eng_ch/","height":"190","description":"This article explains the dynamic quantizer design method for networked control systems under communication rate constraints, published in IEEE Transactions on Automatic Control (2016). The method combines invariant set analysis and particle swarm optimization (PSO) to design both filter parameters and quantization interval. MATLAB code is available.","published":"2026-03-04 13:44:53","title":"Dynamic Quantizer Design under Communication Rate Constraints","provider_url":"https://hatena.blog","author_name":"control_eng_ch","provider_name":"Hatena Blog","type":"rich","url":"https://blog.control-theory.com/entry/2026/03/04/134453","categories":["Research"],"image_url":null,"blog_title":"\u5236\u5fa1\u5de5\u5b66\u30d6\u30ed\u30b0 / Control Engineering Blog","width":"100%","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fblog.control-theory.com%2Fentry%2F2026%2F03%2F04%2F134453\" title=\"Dynamic Quantizer Design under Communication Rate Constraints - \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/"}