Name
Abstract | ||
|---|---|---|
We address a Newton-based extremum seeking algorithm for maximizing higher derivatives of unknown maps in the presence of known time delays. Different from all previous works on this topic, we employ stochastic instead of periodic perturbations, allow arbitrarily long output delays and consider a dynamic map to be optimized. We incorporate a novel predictor feedback for delay compensation and show... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LCSYS.2018.2851602 | IEEE Control Systems Letters |
Keywords | Field | DocType |
Perturbation methods,Delays,Optimization,Delay effects,Convergence,Stability analysis,Predictive models | Convergence (routing),Applied mathematics,Backstepping,Computer science,Exponential stability,Periodic graph (geometry),Perturbation (astronomy) | Journal |
Volume | Issue | ISSN |
3 | 1 | 2475-1456 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Damir Rusiti | 1 | 0 | 0.34 |
| Giulio Evangelisti | 2 | 0 | 0.34 |
| Tiago Roux Oliveira | 3 | 83 | 22.87 |
| M. Gerdts | 4 | 58 | 11.18 |
| Miroslav Krstic | 5 | 4987 | 553.84 |