Abstract
The method of averaging is used to analyze discrete-time indirect adaptive control. The analysis focuses on various prediction-error-driven identification algorithms coupled with a general linear control law. The plant is not required to be in the model set of the identifier, which accounts for systems with unmodeled plant dynamics. Exogenous input signals including known command signals and unknown disturbances are also included. Both gradient and Newton-based algorithms are considered.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IEEE Conference on Decision and Control |
| Publisher | Publ by IEEE |
| Pages | 1964-1965 |
| Number of pages | 2 |
| State | Published - 1988 |
| Externally published | Yes |
| Event | Proceedings of the 27th IEEE Conference on Decision and Control - Austin, TX, USA Duration: Dec 7 1988 → Dec 9 1988 |
Other
| Other | Proceedings of the 27th IEEE Conference on Decision and Control |
|---|---|
| City | Austin, TX, USA |
| Period | 12/7/88 → 12/9/88 |
ASJC Scopus subject areas
- Chemical Health and Safety
- Control and Systems Engineering
- Safety, Risk, Reliability and Quality