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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
D. Rusiti; T. R. Oliveira; G. Mills; M. Krstic 
Title:
Newton-based Extremum Seeking for Higher Derivatives of Unknown Maps with Delays 
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-assignabl...    »
 
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