@inproceedings{e9b1569c7c874b00859bcd562acb4b9e,
title = "Bounded Extremum Seeking for Single-Variable Static Map using State Transformation",
abstract = "We solve a gradient based bounded extremum seeking problem for single-variable static maps in the presence of time-varying piecewise continuous measurement uncertainty. Instead of using previously reported averaging-based methods, we introduce a new state transformation, allowing us to use new comparison function and generalized Lyapunov function approaches to obtain our ultimate bounds on the parameter estimation error. We illustrate significant advantages of our new method, including less restrictive conditions on the extremum seeking parameters, as compared with previous methods.",
keywords = "Extremum seeking, time-varying, uncertainty",
author = "Frederic Mazenc and Michael Malisoff and Emilia Fridman",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 63rd IEEE Conference on Decision and Control, CDC 2024 ; Conference date: 16-12-2024 Through 19-12-2024",
year = "2024",
doi = "10.1109/CDC56724.2024.10886636",
language = "الإنجليزيّة",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6257--6262",
booktitle = "2024 IEEE 63rd Conference on Decision and Control, CDC 2024",
address = "الولايات المتّحدة",
}