A stable adaptive implementation of the internal model principle
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | 29th IEEE Conference on Decision and Control |
| Publisher | IEEE |
| Pages | 3241-3246 |
| Volume | 6 |
| Publication status | Published - 1990 |
| Externally published | Yes |
Conference
| Title | 29th IEEE Conference on Decision and Control |
|---|---|
| Place | United States |
| City | Honolulu |
| Period | 5 - 7 December 1990 |
Link(s)
Abstract
The authors provide a novel adaptive implementation of the internal model principle for linear time-invariant systems, which allows for rejection of unknown deterministically modeled disturbances. The minimal representation of the system model is used for parameter estimation, and the global convergence and stability of the algorithm are investigated with unmodeled dynamics. With proper modification of parameter estimation algorithm, the authors present global convergence and stability for the algorithm without the requirement of persistent excitation condition. Some simulation results are given to support the analysis.
Citation Format(s)
A stable adaptive implementation of the internal model principle. / Feng, G.; Palaniswami, M.
29th IEEE Conference on Decision and Control. Vol. 6 IEEE, 1990. p. 3241-3246.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
