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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/24720

Title: Identification, Uncertainty Characterization and Robust Control Synthesis Applied to Large Flexible Structures Control
Authors: Bayard, David S.
Chiang, Richard Y.
Issue Date: 1996
Abstract: This paper demonstrates an approach to frequency domain identification for the explicit purpose of designing robust H(infinity) controllers. The approach transforms raw experimental data into a plant set estimate directly usable by modern robust control design software(e.g., Matlab Robust Control Toolboxes [11][2]). A key issue in control design from raw data is the question of whether the controller will work when applied to the true system. The main feature fo this approach is that the resulting controller in guaranteed to work as designed(when applied to the true system) to a prescribed statistical confidence. While the overall methodology addresses key theoretical issues, it has at the same time been specifically designed to support practical implementations. A simulation example is included to demonstrate the overall approach.
URI: http://hdl.handle.net/2014/24720
Appears in Collections:JPL TRS 1992+

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