Name
Title | ||
|---|---|---|
Excitation Signal Design For Parameter Convergence In Adaptive Control Of Linearizable Systems |
Abstract | ||
|---|---|---|
In most adaptive control approaches, parameter convergence to their true values can only be ensured if the closed-loop trajectories provide sufficient excitation for the parameter estimation method. In this paper, the design of excitation signal for the adaptive control of linearizable systems is investigated. Based on a sufficient richness condition, two approaches for generating perturbation signals to achieve a desired level of excitation are presented. Moreover, since constant persistently exciting input may deteriorates control performance, we provide a formal design technique for adjusting the excitation magnitude on-line to meet the conflicting objectives of control and identification. The algorithm attenuates the PE signal as parameter convergence is achieved and re-activates it only when required. A simulation example is used to illustrate the developed procedure and ascertain our theoretical results. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/CDC.2006.377322 | PROCEEDINGS OF THE 45TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14 |
Keywords | DocType | ISSN |
convergence,parameter estimation,linear systems,adaptive control | Conference | 0743-1546 |
Citations | PageRank | References |
2 | 0.63 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Veronica Adetola | 1 | 52 | 4.55 |
| M. Guay | 2 | 283 | 41.27 |