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Hybrid extremum seeking for black-box optimization in hybrid plants: an analytical framework

Version 2 2024-06-06, 10:43
Version 1 2019-07-30, 10:23
conference contribution
posted on 2024-06-06, 10:43 authored by JI Poveda, R Kutadinata, C Manzie, D Nesic, AR Teel, CK Liao
© 2018 IEEE. This paper presents an analytical framework to design and analyze hybrid extremum seeking controllers for plants with hybrid dynamics. The extremum seeking controllers are characterized by a hybrid dither generator, a hybrid Jacobian estimator, and a hybrid dynamic optimizer. This structure allows us to consider a family of novel extremum seeking controllers that have not been studied in the literature before. Moreover, the hybrid extremum seeking controllers can be applied to plants with hybrid dynamics generating well-defined response maps. A convergence result is established for the closed -loop system by using singular perturbation theory for hybrid dynamical systems with hybrid boundary layers.

History

Pagination

2235-2240

Location

Miami, Florida

Start date

2018-12-17

End date

2018-12-19

ISSN

0743-1546

ISBN-13

9781538613955

Language

eng

Publication classification

E1.1 Full written paper - refereed

Copyright notice

2018, IEEE

Title of proceedings

2018 CDC: 57th IEEE Conference on Decision and Control

Event

Decision and Control. Conference (57th : 2018 : Miami, Florida)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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