Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint
Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017.
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2018
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/113498 |
| _version_ | 1811098447184396288 |
|---|---|
| author | Sharma Subedi, Chandan |
| author2 | Anuradha M. Annaswamy. |
| author_facet | Anuradha M. Annaswamy. Sharma Subedi, Chandan |
| author_sort | Sharma Subedi, Chandan |
| collection | MIT |
| description | Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. |
| first_indexed | 2024-09-23T17:15:07Z |
| format | Thesis |
| id | mit-1721.1/113498 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T17:15:07Z |
| publishDate | 2018 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1134982019-04-10T08:00:56Z Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint Sharma Subedi, Chandan Anuradha M. Annaswamy. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering. Mechanical Engineering. Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 43-44). 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. by Chandan Sharma Subedi. S.B. 2018-02-08T16:26:33Z 2018-02-08T16:26:33Z 2017 2017 Thesis http://hdl.handle.net/1721.1/113498 1020068989 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 44 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Mechanical Engineering. Sharma Subedi, Chandan Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint |
| title | Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint |
| title_full | Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint |
| title_fullStr | Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint |
| title_full_unstemmed | Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint |
| title_short | Robustness of adaptive control systems to unmodeled dynamics : a describing function viewpoint |
| title_sort | robustness of adaptive control systems to unmodeled dynamics a describing function viewpoint |
| topic | Mechanical Engineering. |
| url | http://hdl.handle.net/1721.1/113498 |
| work_keys_str_mv | AT sharmasubedichandan robustnessofadaptivecontrolsystemstounmodeleddynamicsadescribingfunctionviewpoint |