Abstract
We present an approach for combining standard recursive least squares based regression with proven direct model reference adaptive control using a recursively updated modification term. This approach is applicable to adaptive control problems where the uncertainty can be linearly parameterized. The combined training law drives the adaptive weights smoothly to a recursively updated least squares estimate of the ideal weights and is shown to have a stability proof. Expected improvement in performance of the adaptive law is validated through simulation.
| Original language | English (US) |
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| Title of host publication | Proceedings of the 2010 American Control Conference, ACC 2010 |
| Pages | 892-897 |
| Number of pages | 6 |
| State | Published - Oct 15 2010 |
| Externally published | Yes |
| Event | 2010 American Control Conference, ACC 2010 - Baltimore, MD, United States Duration: Jun 30 2010 → Jul 2 2010 |
Publication series
| Name | Proceedings of the 2010 American Control Conference, ACC 2010 |
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Other
| Other | 2010 American Control Conference, ACC 2010 |
|---|---|
| Country | United States |
| City | Baltimore, MD |
| Period | 6/30/10 → 7/2/10 |
ASJC Scopus subject areas
- Control and Systems Engineering
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Cite this
Chowdhary, G., & Johnson, E. (2010). Recursively updated least squares based modification term for adaptive control. In Proceedings of the 2010 American Control Conference, ACC 2010 (pp. 892-897). [5530475] (Proceedings of the 2010 American Control Conference, ACC 2010).