Robustness Guarantees for Structured Model Reduction of Dynamical Systems: Revision history

From Murray Wiki
Jump to navigationJump to search

Diff selection: Mark the radio buttons of the revisions to compare and hit enter or the button at the bottom.
Legend: (cur) = difference with latest revision, (prev) = difference with preceding revision, m = minor edit.

9 October 2022

  • curprev 17:1117:11, 9 October 2022Murray talk contribs 1,248 bytes +1,248 Created page with "{{Paper |Title=Robustness Guarantees for Structured Model Reduction of Dynamical Systems |Authors=Ayush Pandey, Richard M. Murray |Source=IEEE Conference on Decision and Control (CDC), 2021 |Abstract=Model reduction methods usually focus on the error performance analysis; however, in presence of uncertainties, it is important to analyze the robustness properties of the error in model reduction as well. In this paper, we give robustness guarantees for structured model red..."