<?xml-stylesheet type="text/xsl" href="https://emersonexchange365.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Application of the Kalman Filter in Process Control</title><link>/community-hubs/deltav-community-connect/b/delta-vweblog/posts/application-of-the-kalman-filter-in-process-control</link><description>A paper published in 1960 by Rudolf K&amp;#225;lm&amp;#225;n “A New Approach to Linear Filtering and Prediction Problems” is the basis for the Kalman Filter. The Kalman filter uses a dynamics model, measured control input(s) and process measurement(s) to estimate the process</description><dc:language>en-US</dc:language><generator>Telligent Community 13</generator></channel></rss>