Benutzer: Gast  Login
Titel:

Newton-based Extremum Seeking for Higher Derivatives of Unknown Maps with Delays

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
D. Rusiti; T. R. Oliveira; G. Mills; M. Krstic
Abstract:
We present a Newton-based extremum seeking algorithm for maximizing higher derivatives of unknown maps in the presence of time delays. Different from previous works about extremum seeking for higher derivatives, arbitrarily long input-output delays are allowed. We incorporate a predictor feedback with a perturbation-based estimate for the Hessian’s inverse using a differential Riccati equation. As a bonus, the convergence rate of the real-time optimizer can be made user-assignable, rathe...     »
Kongress- / Buchtitel:
Conference on Decision and Control (CDC)
Ausrichter der Konferenz:
IEEE Control System Society
Datum der Konferenz:
12. - 14. Dezember 2016
Jahr:
2016
Quartal:
4. Quartal
Reviewed:
ja
Sprache:
en
Format:
Text
 BibTeX