Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint
Name
1020068989-MIT.pdf
Description
Full printable version
Size
6.66 MB
Format
Adobe PDF
Checksum (MD5)
4bf7a9a8dc545665e9d906db20d3e462
Author(s)
Sharma Subedi, Chandan
Advisor(s)
Anuradha M. Annaswamy.
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
Recently, it was shown that a standard model reference adaptive controller modified with a suitably tuned projection algorithm ensures robustness (global boundedness) of the overall adaptive system to a class of unmodeled dynamics with minimal restrictions. However, extensive first-principle based arguments and/or analysis of the parameter trajectory is employed. An alternative to such analysis, albeit approximate, is to use the well-known Describing Function (DF) method. In doing so, the analysis of the robust adaptive control problem becomes tractable and resembles that of familiar and classical linear stability analysis.
Description
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 43-44).
Subjects
Mechanical Engineering.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
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