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Title:

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

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
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...     »
Book / Congress title:
Conference on Decision and Control (CDC)
Organization:
IEEE Control System Society
Date of congress:
12. - 14. Dezember 2016
Year:
2016
Quarter:
4. Quartal
Reviewed:
ja
Language:
en
Format:
Text
 BibTeX