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Data Informativity in Output Regulation by jagarapuharish31 is a document available to read on EtoBox.

This article presents a data-driven control method for robust output regulation that utilizes a data informativity theory to design controllers without needing precise system dynamics. It explores necessary conditions for data to be informative regarding system properties and proposes a dynamic state feedback controller that is robust to variations in system matrices and noise. The findings contribute to the field of data-driven control by allowing for less restrictive conditions on the data used for contro

Author
jagarapuharish31
Language
EN