(Control engineering) Model error compensator to achieve robust control system (1minute explanation)

Model error compensator is explained in this video. The detail is obtained by following website. (My YouTube Channel, Eng)https://www.youtube.com/channel/UCeJJ16lFsVMn6xf7X8joVfAControl Engineering LAB (Web Page)https://sites.google.com/view/control-engineering-labControl Engineering LAB H. Okajima Profilehttps://sites.google.com/view/control-engineering-lab/profileControl Engineering LAB Journal and Conferencehttps://sites.google.com/view/control-engineering-lab/profile/research-achievementsControl Engineering LAB Linear Matrix Inequalityhttps://sites.google.com/view/control-engineering-lab/linear-matrix-inequalityControl Engineering LAB Model Error Compensatorhttps://sites.google.com/view/control-engineering-lab/model-error-compensatorControl Engineering LAB Dynamic Quantizerhttps://sites.google.com/view/control-engineering-lab/dynamic-quantizerControl Engineering Channelhttps://sites.google.com/view/control-engineering-lab/control-engineering-channel[Official Website]http://ictrl.cs.kumamoto-u.ac.jp/olab/index.php/topenglish/In this channel, you can watch videos about control engineering. The main purpose of these videos is to make the outline of control theory widely known and for supplementary materials such as university lectures. There are three main topics of explanation in the videos as follows(1) Introduction to Control Engineering(2) Control Theory(3) Paper writing and presentationIn the videos, each item is explained in detail, including many numerical simulations. (Videos longer than 10 minutes often include numerical simulations such as response waveforms. ) .In some of the videos, Matlab simulations are run and the associated code is It is available for download in pdf format (URLs are listed for each). .Click here for an overview of Okajima Laboratory.[Official Website]http://ictrl.cs.kumamoto-u.ac.jp/olab/index.php/topenglish/We are working on a wide range of research projects including robust control, nonlinear control, quantization control, and vehicle control