[HTML][HTML] 100 years of extremum seeking: A survey

A Scheinker - Automatica, 2024 - Elsevier
Extremum seeking (ES) is a powerful approach to the optimization and stabilization of
unknown dynamic systems and is an active field of research in control theory. This paper …

Bayesian optimization of a free-electron laser

J Duris, D Kennedy, A Hanuka, J Shtalenkova… - Physical review …, 2020 - APS
The Linac coherent light source x-ray free-electron laser is a complex scientific apparatus
which changes configurations multiple times per day, necessitating fast tuning strategies to …

Tuning particle accelerators with safety constraints using Bayesian optimization

J Kirschner, M Mutný, A Krause… - … Review Accelerators and …, 2022 - APS
Tuning machine parameters of particle accelerators is a repetitive and time-consuming task
that is challenging to automate. While many off-the-shelf optimization algorithms are …

Bayesian optimization of the beam injection process into a storage ring

C Xu, T Boltz, A Mochihashi, A Santamaria Garcia… - … Review Accelerators and …, 2023 - APS
We have evaluated the data-efficient Bayesian optimization method for the specific task of
injection tuning in a circular accelerator. In this paper, we describe the implementation of this …

Extremum seeking-based control system for particle accelerator beam loss minimization

A Scheinker, EC Huang, C Taylor - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Particle accelerators throughout the world vary widely in terms of age and availability of
advanced noninvasive diagnostics that provide varying levels of detail about the accelerated …

Experimental safe extremum seeking for accelerators

A Williams, A Scheinker, EC Huang… - … on Control Systems …, 2024 - ieeexplore.ieee.org
We demonstrate the recent designs of safe extremum seeking (Safe ES) on the 1-km-long
charged particle accelerator at the Los Alamos Neutron Science Center (LANSCE). Safe ES …

Robust simplex algorithm for online optimization

X Huang - Physical Review Accelerators and Beams, 2018 - APS
A new optimization algorithm is introduced for online optimization applications. The
algorithm was modified from the popular Nelder-Mead simplex method to make it noise …

[图书][B] Beam-based correction and optimization for accelerators

X Huang - 2020 - library.oapen.org
This book provides systematic coverage of the beam-based techniques that accelerator
physicists use to improve the performance of large particle accelerators, including …

Multipoint-BAX: a new approach for efficiently tuning particle accelerator emittance via virtual objectives

SA Miskovich, W Neiswanger, W Colocho… - Machine Learning …, 2024 - iopscience.iop.org
Although beam emittance is critical for the performance of high-brightness accelerators,
optimization is often time limited as emittance calculations, commonly done via quadrupole …

Enabling dynamic 3D coherent diffraction imaging via adaptive latent space tuning of generative autoencoders

A Scheinker, R Pokharel - npj Computational Materials, 2024 - nature.com
Coherent diffraction imaging (CDI) is an advanced non-destructive 3D X-ray imaging
technique for measuring a sample's electron density. The main challenge of CDI is loss of …